--------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/lang/Dropbox/Buying Votes/replication/dirtywork.log
  log type:  text
 opened on:  25 Oct 2021, 09:09:53

. 
. 
. 
. 
. *FIGURE 1
. 
. use "regressiondata.dta", clear

. 
. hist voteagainstUSA_cytot if unsc == 1 & p5 == 0 ///
> , ylabel(50(50)300,nogrid angle(0)) freq width(1) color(navy) ///
> graphregion(color(white)) bgcolor(white)
(bin=16, start=0, width=1)

. graph export "graphs/Figure1.png", as(png) replace
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/Figure1.png written in PNG format)

. 
. 
. 
. *TABLE 1
. 
. use "regressiondata.dta", clear

. 
. xtreg  lnODAnetdis_USA  unsc                                                            l_lngdppcconst lnpop   yearFE* if  oda
>  == 1 & p5 == 0 , fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      6,141
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1366                                         min =          6
     between = 0.4136                                         avg =       40.4
     overall = 0.2718                                         max =         55

                                                F(57,151)         =       5.65
corr(u_i, Xb)  = -0.8524                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
lnODAnetdis_~A |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
          unsc |   .1682503   .0991028     1.70   0.092    -.0275569    .3640575
l_lngdppcconst |  -.9526131   .2807172    -3.39   0.001    -1.507254   -.3979724
         lnpop |   1.242384   .6739194     1.84   0.067    -.0891456    2.573913
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |  -.2078522   .9902577    -0.21   0.834    -2.164402    1.748698
      yearFE17 |   .2752491   .9593351     0.29   0.775    -1.620204    2.170702
      yearFE18 |    .244527   .9428301     0.26   0.796    -1.618316     2.10737
      yearFE19 |   .0955476   .9166578     0.10   0.917    -1.715584    1.906679
      yearFE20 |   .3348975   .8945934     0.37   0.709    -1.432639    2.102434
      yearFE21 |   .4050872   .9053564     0.45   0.655    -1.383715    2.193889
      yearFE22 |    .247705   .8765799     0.28   0.778    -1.484241    1.979651
      yearFE23 |   .0932329   .8639013     0.11   0.914    -1.613662    1.800128
      yearFE24 |  -.0988752   .8309426    -0.12   0.905    -1.740651      1.5429
      yearFE25 |  -.3345497   .8086869    -0.41   0.680    -1.932352    1.263253
      yearFE26 |   -.314123   .7723186    -0.41   0.685    -1.840069    1.211823
      yearFE27 |  -.3299364   .7520577    -0.44   0.661    -1.815851    1.155978
      yearFE28 |  -.5575751   .7275398    -0.77   0.445    -1.995048    .8798972
      yearFE29 |   -.563166   .6987731    -0.81   0.422    -1.943801    .8174691
      yearFE30 |  -.4586548   .6894207    -0.67   0.507    -1.820812    .9035019
      yearFE31 |  -.5339648   .6663499    -0.80   0.424    -1.850538    .7826086
      yearFE32 |  -.5721714   .6470641    -0.88   0.378     -1.85064    .7062971
      yearFE33 |  -.6364373   .6190061    -1.03   0.306    -1.859469    .5865942
      yearFE34 |  -.5453113   .6020097    -0.91   0.366    -1.734761    .6441388
      yearFE35 |  -.5154429   .5923507    -0.87   0.386    -1.685809    .6549229
      yearFE36 |   -.585306   .5821943    -1.01   0.316    -1.735605     .564993
      yearFE37 |  -.6382692   .5663609    -1.13   0.262    -1.757284     .480746
      yearFE38 |  -.5476957   .5510848    -0.99   0.322    -1.636528     .541137
      yearFE39 |  -.5079378   .5426129    -0.94   0.351    -1.580032    .5641563
      yearFE40 |  -.4468794   .5333495    -0.84   0.403    -1.500671     .606912
      yearFE41 |  -.5309905   .5143918    -1.03   0.304    -1.547325    .4853443
      yearFE42 |  -.6777223   .4941966    -1.37   0.172    -1.654155    .2987108
      yearFE43 |  -.7725669   .4781435    -1.62   0.108    -1.717282    .1721485
      yearFE44 |  -.8923553     .45819    -1.95   0.053    -1.797647    .0129359
      yearFE45 |  -.8497476   .4537647    -1.87   0.063    -1.746296    .0468002
      yearFE46 |  -.8257845   .4351277    -1.90   0.060    -1.685509    .0339403
      yearFE47 |  -.9605777    .407518    -2.36   0.020    -1.765751    -.155404
      yearFE48 |  -.8240529   .3743637    -2.20   0.029     -1.56372   -.0843856
      yearFE49 |  -.8483994    .386336    -2.20   0.030    -1.611722   -.0850772
      yearFE50 |  -1.024877   .3697186    -2.77   0.006    -1.755367   -.2943873
      yearFE51 |  -1.231696    .347553    -3.54   0.001    -1.918391   -.5450012
      yearFE52 |  -1.276472   .3298771    -3.87   0.000    -1.928242   -.6247009
      yearFE53 |  -1.245343    .314628    -3.96   0.000    -1.866985   -.6237016
      yearFE54 |  -.9628074   .2896315    -3.32   0.001    -1.535061   -.3905538
      yearFE55 |     -.9731   .2676688    -3.64   0.000     -1.50196   -.4442403
      yearFE56 |   -.838389   .2534618    -3.31   0.001    -1.339179   -.3375993
      yearFE57 |    -.55604   .2438628    -2.28   0.024    -1.037864   -.0742161
      yearFE58 |  -.4650417   .2465143    -1.89   0.061    -.9521043     .022021
      yearFE59 |   -.452815   .2328233    -1.94   0.054    -.9128271    .0071971
      yearFE60 |  -.3038983   .2117005    -1.44   0.153    -.7221758    .1143793
      yearFE61 |  -.1966707   .1883139    -1.04   0.298    -.5687411    .1753997
      yearFE62 |  -.2432962   .1713606    -1.42   0.158    -.5818702    .0952779
      yearFE63 |  -.0318862   .1524662    -0.21   0.835    -.3331286    .2693563
      yearFE64 |   .0634613   .1357657     0.47   0.641    -.2047844     .331707
      yearFE65 |   .0649905   .1237094     0.53   0.600    -.1794344    .3094154
      yearFE66 |   .0770347    .106424     0.72   0.470    -.1332378    .2873072
      yearFE67 |   .0818097   .0843172     0.97   0.333    -.0847841    .2484034
      yearFE68 |   .1759715   .0784574     2.24   0.026     .0209553    .3309876
      yearFE69 |   .0332805   .0480328     0.69   0.489    -.0616227    .1281837
      yearFE70 |          0  (omitted)
         _cons |  -8.920681   11.77468    -0.76   0.450    -32.18508    14.34372
---------------+----------------------------------------------------------------
       sigma_u |  2.3186094
       sigma_e |  1.3472093
           rho |  .74760221   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

.         est store taba1

.         estadd local "Dependent" US aid

added macro:
          e(Dependent) : "US aid"

.         estadd local "FE" Yes

added macro:
                 e(FE) : "Yes"

.         cap drop baselinesample

.         cap gen baselinesample = 1 if e(sample)

.                                         
. xtreg  lnODAnetdis_USA votedallwithUSA  votednotallwithUSA               l_lngdppcconst lnpop  yearFE*  if oda == 1 & p5 == 0 
> , fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      6,141
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1374                                         min =          6
     between = 0.4140                                         avg =       40.4
     overall = 0.2722                                         max =         55

                                                F(58,151)         =       6.02
corr(u_i, Xb)  = -0.8502                        Prob > F          =     0.0000

                                  (Std. Err. adjusted for 152 clusters in countryid)
------------------------------------------------------------------------------------
                   |               Robust
   lnODAnetdis_USA |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
   votedallwithUSA |   .3476046   .1153802     3.01   0.003     .1196365    .5755727
votednotallwithUSA |   .0091089   .1392599     0.07   0.948    -.2660407    .2842585
    l_lngdppcconst |  -.9543925   .2807349    -3.40   0.001    -1.509068   -.3997167
             lnpop |   1.232928   .6728458     1.83   0.069    -.0964797    2.562336
           yearFE1 |          0  (omitted)
           yearFE2 |          0  (omitted)
           yearFE3 |          0  (omitted)
           yearFE4 |          0  (omitted)
           yearFE5 |          0  (omitted)
           yearFE6 |          0  (omitted)
           yearFE7 |          0  (omitted)
           yearFE8 |          0  (omitted)
           yearFE9 |          0  (omitted)
          yearFE10 |          0  (omitted)
          yearFE11 |          0  (omitted)
          yearFE12 |          0  (omitted)
          yearFE13 |          0  (omitted)
          yearFE14 |          0  (omitted)
          yearFE15 |          0  (omitted)
          yearFE16 |  -.2202933    .988105    -0.22   0.824     -2.17259    1.732003
          yearFE17 |   .2608933   .9575941     0.27   0.786     -1.63112    2.152907
          yearFE18 |   .2304373   .9416616     0.24   0.807    -1.630097    2.090971
          yearFE19 |   .0843231   .9157246     0.09   0.927    -1.724964    1.893611
          yearFE20 |   .3213595   .8933263     0.36   0.720    -1.443674    2.086393
          yearFE21 |   .3948444   .9037671     0.44   0.663    -1.390818    2.180506
          yearFE22 |   .2360142   .8750957     0.27   0.788    -1.492999    1.965027
          yearFE23 |   .0772959   .8628884     0.09   0.929    -1.627598     1.78219
          yearFE24 |  -.1167418   .8302411    -0.14   0.888    -1.757131    1.523648
          yearFE25 |  -.3324736    .808507    -0.41   0.681    -1.929921    1.264974
          yearFE26 |   -.324054   .7715181    -0.42   0.675    -1.848419    1.200311
          yearFE27 |  -.3273679   .7523168    -0.44   0.664    -1.813795    1.159059
          yearFE28 |   -.546824   .7283386    -0.75   0.454    -1.985875    .8922267
          yearFE29 |  -.5543188   .6994263    -0.79   0.429    -1.936245     .827607
          yearFE30 |  -.4492714   .6899162    -0.65   0.516    -1.812407    .9138643
          yearFE31 |  -.5264223   .6663709    -0.79   0.431    -1.843037    .7901927
          yearFE32 |  -.5608315   .6471387    -0.87   0.388    -1.839448    .7177845
          yearFE33 |  -.6473534   .6185774    -1.05   0.297    -1.869538    .5748311
          yearFE34 |  -.5579194   .6010102    -0.93   0.355    -1.745395    .6295558
          yearFE35 |  -.5041085   .5927467    -0.85   0.396    -1.675257    .6670397
          yearFE36 |   -.575705   .5819788    -0.99   0.324    -1.725578    .5741681
          yearFE37 |  -.6287663   .5663245    -1.11   0.269     -1.74771    .4901769
          yearFE38 |   -.536707    .550849    -0.97   0.331    -1.625074      .55166
          yearFE39 |  -.4935833   .5426533    -0.91   0.364    -1.565757    .5785905
          yearFE40 |  -.4339837   .5335699    -0.81   0.417    -1.488211    .6202432
          yearFE41 |  -.5181133   .5142964    -1.01   0.315     -1.53426     .498033
          yearFE42 |  -.6663872   .4942265    -1.35   0.180    -1.642879     .310105
          yearFE43 |  -.7612038   .4781758    -1.59   0.114    -1.705983    .1835754
          yearFE44 |  -.8795715    .457821    -1.92   0.057    -1.784134    .0249908
          yearFE45 |  -.8380706   .4533969    -1.85   0.066    -1.733892    .0577505
          yearFE46 |  -.8248994   .4348693    -1.90   0.060    -1.684114    .0343149
          yearFE47 |  -.9655077   .4074166    -2.37   0.019    -1.770481   -.1605345
          yearFE48 |  -.8287958   .3746111    -2.21   0.028    -1.568952   -.0886397
          yearFE49 |  -.8467924   .3857894    -2.19   0.030    -1.609035   -.0845502
          yearFE50 |   -1.01074   .3701596    -2.73   0.007    -1.742101    -.279379
          yearFE51 |  -1.217133   .3479357    -3.50   0.001    -1.904584   -.5296818
          yearFE52 |  -1.262879   .3299591    -3.83   0.000    -1.914812   -.6109464
          yearFE53 |  -1.247992    .314914    -3.96   0.000    -1.870199   -.6257853
          yearFE54 |  -.9641636   .2897302    -3.33   0.001    -1.536612    -.391715
          yearFE55 |  -.9743818   .2681304    -3.63   0.000    -1.504154     -.44461
          yearFE56 |  -.8244171   .2532802    -3.25   0.001    -1.324848   -.3239863
          yearFE57 |  -.5457068   .2440472    -2.24   0.027    -1.027895   -.0635186
          yearFE58 |  -.4535173   .2465314    -1.84   0.068    -.9406138    .0335793
          yearFE59 |  -.4396688   .2327516    -1.89   0.061    -.8995391    .0202016
          yearFE60 |  -.3061633   .2119529    -1.44   0.151    -.7249396    .1126131
          yearFE61 |  -.1841092   .1885146    -0.98   0.330    -.5565761    .1883577
          yearFE62 |  -.2419497   .1714375    -1.41   0.160    -.5806757    .0967763
          yearFE63 |  -.0279638   .1530729    -0.18   0.855     -.330405    .2744774
          yearFE64 |   .0650555   .1362767     0.48   0.634    -.2041999    .3343109
          yearFE65 |   .0667402   .1242401     0.54   0.592    -.1787332    .3122137
          yearFE66 |   .0942429   .1072347     0.88   0.381    -.1176313    .3061171
          yearFE67 |   .0784978   .0847406     0.93   0.356    -.0889326    .2459283
          yearFE68 |   .1741558   .0784541     2.22   0.028     .0191462    .3291653
          yearFE69 |   .0330657   .0480232     0.69   0.492    -.0618185    .1279498
          yearFE70 |          0  (omitted)
             _cons |  -8.765497     11.761    -0.75   0.457    -32.00286    14.47187
-------------------+----------------------------------------------------------------
           sigma_u |  2.3026928
           sigma_e |  1.3467459
               rho |  .74512446   (fraction of variance due to u_i)
------------------------------------------------------------------------------------

.         est store taba2

.                 estadd local "Dependent" US aid

added macro:
          e(Dependent) : "US aid"

.                 estadd local "FE" Yes

added macro:
                 e(FE) : "Yes"

.                         test _b[votedallwithUSA] = _b[votednotallwithUSA]

 ( 1)  votedallwithUSA - votednotallwithUSA = 0

       F(  1,   151) =    4.42
            Prob > F =    0.0372

.                         estadd scalar pvalue = r(p)

added scalar:
             e(pvalue) =  .03718258

.                         
. 
. xtreg  lnODAnetdis_USA votedallwithUSA  votednotallwithUSA      l_pctagreeus_unga       l_lngdppcconst lnpop  yearFE*  if oda 
> == 1 & p5 == 0 , fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,632
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1544                                         min =          6
     between = 0.3161                                         avg =       37.1
     overall = 0.2358                                         max =         54

                                                F(58,151)         =       6.52
corr(u_i, Xb)  = -0.9214                        Prob > F          =     0.0000

                                  (Std. Err. adjusted for 152 clusters in countryid)
------------------------------------------------------------------------------------
                   |               Robust
   lnODAnetdis_USA |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
   votedallwithUSA |   .2876326   .1065193     2.70   0.008     .0771719    .4980934
votednotallwithUSA |  -.0191018    .127354    -0.15   0.881    -.2707278    .2325241
 l_pctagreeus_unga |   1.563975   .7078656     2.21   0.029     .1653746    2.962575
    l_lngdppcconst |  -.7476968   .2016202    -3.71   0.000    -1.146058   -.3493358
             lnpop |   1.917344   .5093073     3.76   0.000     .9110548    2.923633
           yearFE1 |          0  (omitted)
           yearFE2 |          0  (omitted)
           yearFE3 |          0  (omitted)
           yearFE4 |          0  (omitted)
           yearFE5 |          0  (omitted)
           yearFE6 |          0  (omitted)
           yearFE7 |          0  (omitted)
           yearFE8 |          0  (omitted)
           yearFE9 |          0  (omitted)
          yearFE10 |          0  (omitted)
          yearFE11 |          0  (omitted)
          yearFE12 |          0  (omitted)
          yearFE13 |          0  (omitted)
          yearFE14 |          0  (omitted)
          yearFE15 |          0  (omitted)
          yearFE16 |   .9250115   .8123637     1.14   0.257    -.6800559    2.530079
          yearFE17 |   1.308154   .7714889     1.70   0.092    -.2161532    2.832461
          yearFE18 |   1.382278   .7473449     1.85   0.066    -.0943253    2.858881
          yearFE19 |   1.059454   .7313367     1.45   0.150    -.3855205    2.504428
          yearFE20 |          0  (omitted)
          yearFE21 |   1.425346    .680856     2.09   0.038     .0801118    2.770581
          yearFE22 |   1.095798   .6532216     1.68   0.096    -.1948363    2.386433
          yearFE23 |   .9013233   .6459911     1.40   0.165    -.3750253    2.177672
          yearFE24 |   .7147478    .618875     1.15   0.250    -.5080247     1.93752
          yearFE25 |   .4069111   .6104779     0.67   0.506    -.7992705    1.613093
          yearFE26 |   .3534433   .5847717     0.60   0.546    -.8019481    1.508835
          yearFE27 |   .1570838   .5889954     0.27   0.790    -1.006653     1.32082
          yearFE28 |    .013218   .5577457     0.02   0.981    -1.088775    1.115211
          yearFE29 |   .1182257   .5263266     0.22   0.823    -.9216898    1.158141
          yearFE30 |   .1969613   .5269186     0.37   0.709    -.8441239    1.238046
          yearFE31 |   .1338341   .4942315     0.27   0.787     -.842668    1.110336
          yearFE32 |   .1973569     .48498     0.41   0.685    -.7608661     1.15558
          yearFE33 |  -.0934302   .4717319    -0.20   0.843    -1.025478    .8386172
          yearFE34 |  -.0602688   .4640468    -0.13   0.897    -.9771319    .8565943
          yearFE35 |   .1092365   .4497592     0.24   0.808    -.7793972    .9978703
          yearFE36 |   .1138137   .4433377     0.26   0.798    -.7621324    .9897598
          yearFE37 |   .1348294   .4328488     0.31   0.756    -.7203928    .9900516
          yearFE38 |   .2691424   .4175877     0.64   0.520     -.555927    1.094212
          yearFE39 |   .2730652   .4121242     0.66   0.509    -.5412093     1.08734
          yearFE40 |   .3992896   .4138206     0.96   0.336    -.4183367    1.216916
          yearFE41 |   .2452338   .3921119     0.63   0.533    -.5295005    1.019968
          yearFE42 |   .1288554    .372937     0.35   0.730    -.6079932     .865704
          yearFE43 |   .0781695   .3718006     0.21   0.834    -.6564337    .8127726
          yearFE44 |  -.0372133   .3596097    -0.10   0.918    -.7477298    .6733032
          yearFE45 |   .0062191   .3665538     0.02   0.986    -.7180175    .7304557
          yearFE46 |  -.0245665    .351481    -0.07   0.944    -.7190223    .6698893
          yearFE47 |   -.371044   .3173603    -1.17   0.244    -.9980842    .2559962
          yearFE48 |  -.3474282   .3063274    -1.13   0.259    -.9526696    .2578132
          yearFE49 |  -.4963352   .3171036    -1.57   0.120    -1.122868    .1301978
          yearFE50 |  -.7945151   .3017722    -2.63   0.009    -1.390756   -.1982739
          yearFE51 |  -.9980349   .2759264    -3.62   0.000     -1.54321   -.4528597
          yearFE52 |  -1.053759   .2669953    -3.95   0.000    -1.581288   -.5262301
          yearFE53 |  -1.047794   .2496686    -4.20   0.000    -1.541089   -.5544994
          yearFE54 |  -.7117678   .2301503    -3.09   0.002    -1.166498   -.2570371
          yearFE55 |  -.6801469   .2159273    -3.15   0.002    -1.106776   -.2535179
          yearFE56 |  -.5698806    .208197    -2.74   0.007     -.981236   -.1585252
          yearFE57 |  -.2433824   .2005221    -1.21   0.227    -.6395737    .1528089
          yearFE58 |  -.1317905   .2014751    -0.65   0.514    -.5298647    .2662838
          yearFE59 |  -.1841076   .1891552    -0.97   0.332    -.5578402     .189625
          yearFE60 |   .0113422   .1926264     0.06   0.953    -.3692489    .3919333
          yearFE61 |   .1062635   .1760236     0.60   0.547    -.2415237    .4540508
          yearFE62 |   .0464389   .1674698     0.28   0.782    -.2844477    .3773254
          yearFE63 |   .2699408   .1675785     1.61   0.109    -.0611606    .6010423
          yearFE64 |   .3234034   .1471618     2.20   0.030     .0326413    .6141655
          yearFE65 |   .2569449   .1257127     2.04   0.043     .0085619    .5053279
          yearFE66 |   .2126602   .1026385     2.07   0.040     .0098671    .4154533
          yearFE67 |   .1131292     .07789     1.45   0.148    -.0407658    .2670242
          yearFE68 |   .2493341   .0788891     3.16   0.002      .093465    .4052032
          yearFE69 |   .1071778   .0536617     2.00   0.048     .0011531    .2132025
          yearFE70 |          0  (omitted)
             _cons |  -21.76806   8.720662    -2.50   0.014    -38.99833   -4.537788
-------------------+----------------------------------------------------------------
           sigma_u |  3.5218055
           sigma_e |  1.2442991
               rho |  .88902327   (fraction of variance due to u_i)
------------------------------------------------------------------------------------

.         est store taba3

.                 estadd local "Dependent" US aid

added macro:
          e(Dependent) : "US aid"

.                 estadd local "FE" Yes

added macro:
                 e(FE) : "Yes"

.                         test _b[votedallwithUSA] = _b[votednotallwithUSA]

 ( 1)  votedallwithUSA - votednotallwithUSA = 0

       F(  1,   151) =    4.52
            Prob > F =    0.0351

.                         estadd scalar pvalue = r(p)

added scalar:
             e(pvalue) =  .03512693

.                         
.                                 
. xtreg  IMFcommitments_lny  unsc                                                                                               
>                   l_lngdppcconst lnpop  pastIMF  yearFE* if  oda == 1 & p5 == 0 , fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,825
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1224                                         min =          6
     between = 0.3008                                         avg =       38.3
     overall = 0.1425                                         max =         54

                                                F(57,151)         =      10.02
corr(u_i, Xb)  = -0.2249                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
IMFcommitmen~y |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
          unsc |   .0713282   .1228315     0.58   0.562    -.1713621    .3140186
l_lngdppcconst |  -.3366074   .1274456    -2.64   0.009    -.5884142   -.0848005
         lnpop |   .0088137   .3934539     0.02   0.982     -.768572    .7861995
       pastIMF |   1.535334   .1587602     9.67   0.000     1.221656    1.849012
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |   .0637476   .5396861     0.12   0.906    -1.002564    1.130059
      yearFE17 |   -.296031   .5167117    -0.57   0.568    -1.316949    .7248874
      yearFE18 |  -.3241816   .5280889    -0.61   0.540    -1.367579    .7192159
      yearFE19 |  -.3202135    .518511    -0.62   0.538    -1.344687      .70426
      yearFE20 |  -.2137737    .525896    -0.41   0.685    -1.252838    .8252911
      yearFE21 |  -.1667295   .4947369    -0.34   0.737     -1.14423    .8107712
      yearFE22 |  -.1873474   .4637028    -0.40   0.687    -1.103531    .7288361
      yearFE23 |  -.0449566   .4574172    -0.10   0.922    -.9487209    .8588078
      yearFE24 |  -.2753043    .461771    -0.60   0.552    -1.187671    .6370623
      yearFE25 |  -.3570179   .4512589    -0.79   0.430    -1.248615    .5345789
      yearFE26 |  -.5371985   .4287189    -1.25   0.212    -1.384261    .3098637
      yearFE27 |  -.3525921   .4266444    -0.83   0.410    -1.195556    .4903715
      yearFE28 |   -.487895   .4221207    -1.16   0.250    -1.321921    .3461306
      yearFE29 |  -.5312201   .4290606    -1.24   0.218    -1.378958    .3165175
      yearFE30 |  -.5790121    .409433    -1.41   0.159    -1.387969    .2299453
      yearFE31 |  -.4161936   .4002311    -1.04   0.300     -1.20697    .3745826
      yearFE32 |  -.1308815   .3644071    -0.36   0.720    -.8508766    .5891135
      yearFE33 |  -.2035453   .3783531    -0.54   0.591    -.9510949    .5440042
      yearFE34 |   .0868332   .3757215     0.23   0.818    -.6555168    .8291833
      yearFE35 |   .4406926   .3854363     1.14   0.255    -.3208521    1.202237
      yearFE36 |   .5629553   .3802324     1.48   0.141    -.1883075    1.314218
      yearFE37 |   .1936747   .3559749     0.54   0.587    -.5096601    .8970096
      yearFE38 |   .8329675   .3384319     2.46   0.015     .1642941    1.501641
      yearFE39 |   .3377183   .3160865     1.07   0.287     -.286805    .9622416
      yearFE40 |   .3001983   .3309582     0.91   0.366    -.3537086    .9541051
      yearFE41 |   .2024768   .3014961     0.67   0.503    -.3932188    .7981724
      yearFE42 |   .3028197   .2808171     1.08   0.283    -.2520184    .8576577
      yearFE43 |   .3487178   .3099485     1.13   0.262    -.2636781    .9611137
      yearFE44 |   .6735797   .3054692     2.21   0.029     .0700341    1.277125
      yearFE45 |   .3481273   .2724657     1.28   0.203    -.1902102    .8864649
      yearFE46 |   .4969151    .265906     1.87   0.064    -.0284617    1.022292
      yearFE47 |   .4402609   .2609041     1.69   0.094    -.0752332     .955755
      yearFE48 |   .1387759   .2798579     0.50   0.621     -.414167    .6917187
      yearFE49 |   .4287496    .275043     1.56   0.121    -.1146801    .9721793
      yearFE50 |   .5270774   .2549299     2.07   0.040     .0233871    1.030768
      yearFE51 |   .5313551   .2465911     2.15   0.033     .0441406     1.01857
      yearFE52 |   .4919609   .2688633     1.83   0.069     -.039259    1.023181
      yearFE53 |   .5396602   .2638559     2.05   0.043     .0183341    1.060986
      yearFE54 |   .5536377   .2530712     2.19   0.030       .05362    1.053655
      yearFE55 |    .477042   .2502496     1.91   0.059     -.017401    .9714849
      yearFE56 |    .438482   .2635058     1.66   0.098    -.0821525    .9591166
      yearFE57 |    .237659     .25897     0.92   0.360    -.2740137    .7493318
      yearFE58 |   .3998333   .2518598     1.59   0.114    -.0977912    .8974577
      yearFE59 |   .2290663   .2438533     0.94   0.349    -.2527389    .7108715
      yearFE60 |   .0142023    .243307     0.06   0.954    -.4665235    .4949281
      yearFE61 |  -.1596686   .2336105    -0.68   0.495     -.621236    .3018988
      yearFE62 |  -.2909477   .2339401    -1.24   0.216    -.7531662    .1712708
      yearFE63 |  -.0759888   .2083895    -0.36   0.716    -.4877245     .335747
      yearFE64 |   .4005828   .2456344     1.63   0.105    -.0847414     .885907
      yearFE65 |   .2640455   .1967527     1.34   0.182    -.1246982    .6527892
      yearFE66 |   .1515451   .2113901     0.72   0.475    -.2661192    .5692094
      yearFE67 |  -.0186682   .1909105    -0.10   0.922    -.3958689    .3585326
      yearFE68 |   -.174366   .1336234    -1.30   0.194     -.438379     .089647
      yearFE69 |          0  (omitted)
      yearFE70 |          0  (omitted)
         _cons |   2.263074    6.57049     0.34   0.731    -10.71889    15.24504
---------------+----------------------------------------------------------------
       sigma_u |  .79938352
       sigma_e |  1.6800476
           rho |  .18460215   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

.         est store tabb1

.                 estadd local "Dependent" IMF loans

added macro:
          e(Dependent) : "IMF loans"

.                 estadd local "FE" Yes

added macro:
                 e(FE) : "Yes"

. 
. xtreg  IMFcommitments_lny votedallwithUSA  votednotallwithUSA                                                   l_lngdppcconst
>  lnpop pastIMF  yearFE*  if oda == 1 & p5 == 0 , fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,825
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1241                                         min =          6
     between = 0.2881                                         avg =       38.3
     overall = 0.1413                                         max =         54

                                                F(58,151)         =       9.81
corr(u_i, Xb)  = -0.2166                        Prob > F          =     0.0000

                                  (Std. Err. adjusted for 152 clusters in countryid)
------------------------------------------------------------------------------------
                   |               Robust
IMFcommitments_lny |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
   votedallwithUSA |    .409614   .1689333     2.42   0.017     .0758357    .7433923
votednotallwithUSA |  -.2182172   .1701219    -1.28   0.202    -.5543439    .1179094
    l_lngdppcconst |  -.3394104   .1276051    -2.66   0.009    -.5915325   -.0872884
             lnpop |  -.0070128   .3943965    -0.02   0.986     -.786261    .7722353
           pastIMF |   1.527245   .1582948     9.65   0.000     1.214486    1.840004
           yearFE1 |          0  (omitted)
           yearFE2 |          0  (omitted)
           yearFE3 |          0  (omitted)
           yearFE4 |          0  (omitted)
           yearFE5 |          0  (omitted)
           yearFE6 |          0  (omitted)
           yearFE7 |          0  (omitted)
           yearFE8 |          0  (omitted)
           yearFE9 |          0  (omitted)
          yearFE10 |          0  (omitted)
          yearFE11 |          0  (omitted)
          yearFE12 |          0  (omitted)
          yearFE13 |          0  (omitted)
          yearFE14 |          0  (omitted)
          yearFE15 |          0  (omitted)
          yearFE16 |    .033918   .5384012     0.06   0.950    -1.029854    1.097691
          yearFE17 |  -.3287564   .5182875    -0.63   0.527    -1.352788    .6952755
          yearFE18 |  -.3562233   .5304342    -0.67   0.503    -1.404255    .6918079
          yearFE19 |  -.3455851   .5198241    -0.66   0.507    -1.372653    .6814828
          yearFE20 |  -.2437162   .5278853    -0.46   0.645    -1.286711     .799279
          yearFE21 |  -.1890661   .4989901    -0.38   0.705     -1.17497    .7968381
          yearFE22 |  -.2124507   .4672815    -0.45   0.650    -1.135705    .7108037
          yearFE23 |  -.0789028   .4590463    -0.17   0.864     -.985886    .8280804
          yearFE24 |   -.313191   .4646318    -0.67   0.501     -1.23121     .604828
          yearFE25 |  -.3543674   .4513229    -0.79   0.434    -1.246091     .537356
          yearFE26 |  -.5586178   .4328393    -1.29   0.199    -1.413821    .2965856
          yearFE27 |  -.3487798   .4242367    -0.82   0.412    -1.186986    .4894267
          yearFE28 |  -.4676507   .4204394    -1.11   0.268    -1.298355    .3630531
          yearFE29 |  -.5151776   .4292622    -1.20   0.232    -1.363313    .3329582
          yearFE30 |  -.5619861   .4098622    -1.37   0.172    -1.371791    .2478192
          yearFE31 |  -.4028709   .4015204    -1.00   0.317    -1.196194    .3904527
          yearFE32 |   -.110052   .3657268    -0.30   0.764    -.8326547    .6125507
          yearFE33 |  -.2266978   .3790825    -0.60   0.551    -.9756886    .5222929
          yearFE34 |   .0616042   .3776385     0.16   0.871    -.6845336     .807742
          yearFE35 |    .461443   .3829062     1.21   0.230    -.2951027    1.217989
          yearFE36 |   .5809997    .377825     1.54   0.126    -.1655064    1.327506
          yearFE37 |   .2115549   .3555064     0.60   0.553    -.4908543     .913964
          yearFE38 |   .8535671   .3384852     2.52   0.013     .1847883    1.522346
          yearFE39 |   .3647155   .3161635     1.15   0.251      -.25996     .989391
          yearFE40 |   .3244193   .3310037     0.98   0.329    -.3295775    .9784161
          yearFE41 |   .2266338   .3008387     0.75   0.452     -.367763    .8210306
          yearFE42 |   .3244759   .2806823     1.16   0.249    -.2300959    .8790476
          yearFE43 |   .3708871   .3079178     1.20   0.230    -.2374965    .9792707
          yearFE44 |   .6987344   .3055106     2.29   0.024      .095107    1.302362
          yearFE45 |    .370802    .271752     1.36   0.174    -.1661252    .9077293
          yearFE46 |    .498385    .265124     1.88   0.062    -.0254466    1.022217
          yearFE47 |   .4309659    .259993     1.66   0.099    -.0827279    .9446597
          yearFE48 |   .1300632   .2800528     0.46   0.643    -.4232648    .6833913
          yearFE49 |   .4318791   .2758515     1.57   0.120    -.1131479    .9769062
          yearFE50 |   .5537986   .2544767     2.18   0.031     .0510039    1.056593
          yearFE51 |    .559029   .2468909     2.26   0.025     .0712222    1.046836
          yearFE52 |   .5178334    .267902     1.93   0.055     -.011487    1.047154
          yearFE53 |   .5354767   .2636936     2.03   0.044     .0144711    1.056482
          yearFE54 |    .551775   .2527142     2.18   0.031     .0524626    1.051087
          yearFE55 |   .4752401   .2528672     1.88   0.062    -.0243745    .9748548
          yearFE56 |   .4651692    .260245     1.79   0.076    -.0490227     .979361
          yearFE57 |   .2574328   .2575883     1.00   0.319    -.2515099    .7663755
          yearFE58 |   .4217527   .2498575     1.69   0.093    -.0719155    .9154208
          yearFE59 |   .2538765   .2418647     1.05   0.296    -.2239995    .7317525
          yearFE60 |   .0104767   .2429741     0.04   0.966    -.4695912    .4905446
          yearFE61 |   -.135849   .2311757    -0.59   0.558    -.5926057    .3209076
          yearFE62 |  -.2880556   .2327272    -1.24   0.218    -.7478779    .1717666
          yearFE63 |  -.0683925   .2070512    -0.33   0.742    -.4774839    .3406989
          yearFE64 |     .40394   .2449624     1.65   0.101    -.0800565    .8879365
          yearFE65 |   .2677235   .1957639     1.37   0.173    -.1190666    .6545135
          yearFE66 |   .1838872   .2086741     0.88   0.380    -.2284108    .5961851
          yearFE67 |  -.0244021   .1915973    -0.13   0.899    -.4029597    .3541556
          yearFE68 |  -.1773392   .1332087    -1.33   0.185    -.4405327    .0858544
          yearFE69 |          0  (omitted)
          yearFE70 |          0  (omitted)
             _cons |   2.527112   6.586191     0.38   0.702    -10.48588     15.5401
-------------------+----------------------------------------------------------------
           sigma_u |    .804219
           sigma_e |   1.678554
               rho |  .18669457   (fraction of variance due to u_i)
------------------------------------------------------------------------------------

.         est store tabb2

.         estadd local "Dependent" IMF loans

added macro:
          e(Dependent) : "IMF loans"

.         estadd local "FE" Yes

added macro:
                 e(FE) : "Yes"

.                         test _b[votedallwithUSA] = _b[votednotallwithUSA]

 ( 1)  votedallwithUSA - votednotallwithUSA = 0

       F(  1,   151) =    7.15
            Prob > F =    0.0083

.                         estadd scalar pvalue = r(p)

added scalar:
             e(pvalue) =  .00833957

. 
. xtreg  IMFcommitments_lny votedallwithUSA  votednotallwithUSA   l_pctagreeus_unga       l_lngdppcconst lnpop pastIMF  yearFE* 
>  if oda == 1 & p5 == 0 , fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,501
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1222                                         min =          6
     between = 0.2890                                         avg =       36.2
     overall = 0.1347                                         max =         53

                                                F(58,151)         =      10.15
corr(u_i, Xb)  = -0.2670                        Prob > F          =     0.0000

                                  (Std. Err. adjusted for 152 clusters in countryid)
------------------------------------------------------------------------------------
                   |               Robust
IMFcommitments_lny |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
   votedallwithUSA |   .4447592   .1736058     2.56   0.011      .101749    .7877694
votednotallwithUSA |  -.2048807   .1722288    -1.19   0.236    -.5451702    .1354088
 l_pctagreeus_unga |   .2356115   .3018104     0.78   0.436    -.3607051    .8319281
    l_lngdppcconst |  -.3971974   .1341679    -2.96   0.004    -.6622862   -.1321086
             lnpop |   .0064332   .4177837     0.02   0.988    -.8190235    .8318898
           pastIMF |   1.524046    .165387     9.22   0.000     1.197274    1.850817
           yearFE1 |          0  (omitted)
           yearFE2 |          0  (omitted)
           yearFE3 |          0  (omitted)
           yearFE4 |          0  (omitted)
           yearFE5 |          0  (omitted)
           yearFE6 |          0  (omitted)
           yearFE7 |          0  (omitted)
           yearFE8 |          0  (omitted)
           yearFE9 |          0  (omitted)
          yearFE10 |          0  (omitted)
          yearFE11 |          0  (omitted)
          yearFE12 |          0  (omitted)
          yearFE13 |          0  (omitted)
          yearFE14 |          0  (omitted)
          yearFE15 |          0  (omitted)
          yearFE16 |  -.0734145   .5639868    -0.13   0.897    -1.187739     1.04091
          yearFE17 |  -.5087424   .5446411    -0.93   0.352    -1.584844    .5673589
          yearFE18 |  -.4453997   .5470626    -0.81   0.417    -1.526285     .635486
          yearFE19 |  -.4391862   .5400504    -0.81   0.417    -1.506217    .6278447
          yearFE20 |          0  (omitted)
          yearFE21 |   -.281291   .5155683    -0.55   0.586     -1.29995    .7373684
          yearFE22 |  -.3298798    .478578    -0.69   0.492    -1.275454     .615694
          yearFE23 |  -.1945251   .4686735    -0.42   0.679     -1.12053    .7314794
          yearFE24 |  -.3921783   .4771794    -0.82   0.412    -1.334989    .5506323
          yearFE25 |   -.465038   .4677904    -0.99   0.322    -1.389298    .4592217
          yearFE26 |  -.6537634   .4506426    -1.45   0.149    -1.544142    .2366157
          yearFE27 |  -.4363284   .4450105    -0.98   0.328     -1.31558    .4429228
          yearFE28 |  -.5400928   .4380303    -1.23   0.219    -1.405553     .325367
          yearFE29 |  -.6155327   .4467129    -1.38   0.170    -1.498147    .2670821
          yearFE30 |   -.678476   .4261426    -1.59   0.113    -1.520448    .1634962
          yearFE31 |  -.5269435   .4081378    -1.29   0.199    -1.333342    .2794548
          yearFE32 |  -.1368434    .384355    -0.36   0.722    -.8962515    .6225647
          yearFE33 |  -.3060589   .4046624    -0.76   0.451     -1.10559    .4934725
          yearFE34 |  -.0111167   .4007479    -0.03   0.978    -.8029141    .7806806
          yearFE35 |   .3692394   .4095061     0.90   0.369    -.4398624    1.178341
          yearFE36 |   .5234501    .403441     1.30   0.196    -.2736683    1.320568
          yearFE37 |   .1477311   .3661956     0.40   0.687    -.5757979      .87126
          yearFE38 |    .847072   .3520006     2.41   0.017     .1515897    1.542554
          yearFE39 |    .320435   .3258274     0.98   0.327    -.3233345    .9642045
          yearFE40 |   .2956711   .3493303     0.85   0.399    -.3945354    .9858777
          yearFE41 |   .1840671   .3146588     0.58   0.559    -.4376353    .8057696
          yearFE42 |   .3360567   .2966665     1.13   0.259    -.2500966      .92221
          yearFE43 |   .3910959   .3264354     1.20   0.233    -.2538749    1.036067
          yearFE44 |   .7433319    .327564     2.27   0.025     .0961313    1.390532
          yearFE45 |   .4000472   .2920824     1.37   0.173    -.1770489    .9771434
          yearFE46 |   .5906323    .291057     2.03   0.044     .0155621    1.165703
          yearFE47 |   .4599799   .2812438     1.64   0.104    -.0957013    1.015661
          yearFE48 |   .0594045    .292897     0.20   0.840    -.5193012    .6381101
          yearFE49 |   .4329526   .2900217     1.49   0.138    -.1400721    1.005977
          yearFE50 |   .5511871   .2737503     2.01   0.046     .0103116    1.092063
          yearFE51 |    .570096   .2608429     2.19   0.030     .0547229    1.085469
          yearFE52 |   .5119392   .2782882     1.84   0.068    -.0379023    1.061781
          yearFE53 |   .5214545   .2763003     1.89   0.061    -.0244593    1.067368
          yearFE54 |   .5596324   .2656075     2.11   0.037     .0348454    1.084419
          yearFE55 |   .4824528    .264795     1.82   0.070    -.0407289    1.005635
          yearFE56 |   .4599535   .2690619     1.71   0.089    -.0716587    .9915657
          yearFE57 |   .2630542   .2713878     0.97   0.334    -.2731536    .7992619
          yearFE58 |    .452645   .2599644     1.74   0.084    -.0609924    .9662824
          yearFE59 |   .2660198   .2484676     1.07   0.286    -.2249023    .7569418
          yearFE60 |   .0096131   .2480173     0.04   0.969    -.4804192    .4996455
          yearFE61 |  -.1318371   .2331358    -0.57   0.573    -.5924665    .3287923
          yearFE62 |  -.2803699   .2345666    -1.20   0.234    -.7438263    .1830865
          yearFE63 |  -.0541314   .2138048    -0.25   0.800    -.4765668    .3683039
          yearFE64 |   .4161289   .2494776     1.67   0.097    -.0767887    .9090464
          yearFE65 |   .2709276   .1980728     1.37   0.173    -.1204245    .6622797
          yearFE66 |   .1818137    .208499     0.87   0.385    -.2301384    .5937658
          yearFE67 |  -.0389691   .1940947    -0.20   0.841    -.4224611     .344523
          yearFE68 |   -.181022   .1337694    -1.35   0.178    -.4453234    .0832795
          yearFE69 |          0  (omitted)
          yearFE70 |          0  (omitted)
             _cons |   2.732743   6.912046     0.40   0.693    -10.92407    16.38956
-------------------+----------------------------------------------------------------
           sigma_u |  .83549589
           sigma_e |  1.7041795
               rho |  .19378093   (fraction of variance due to u_i)
------------------------------------------------------------------------------------

.         est store tabb3

.         estadd local "Dependent" IMF loans

added macro:
          e(Dependent) : "IMF loans"

.         estadd local "FE" Yes

added macro:
                 e(FE) : "Yes"

.                         test _b[votedallwithUSA] = _b[votednotallwithUSA]

 ( 1)  votedallwithUSA - votednotallwithUSA = 0

       F(  1,   151) =    7.46
            Prob > F =    0.0071

.                         estadd scalar pvalue = r(p)

added scalar:
             e(pvalue) =  .00705185

.                         
. xtreg  lnWBlend  unsc                                                                                                         
>   l_lngdppcconst lnpop    yearFE* if  oda == 1 & p5 == 0 , fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,648
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.0939                                         min =          6
     between = 0.3539                                         avg =       37.2
     overall = 0.1144                                         max =         48

                                                F(50,151)         =       7.24
corr(u_i, Xb)  = -0.7941                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
      lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
          unsc |   .2605804   .0993569     2.62   0.010     .0642712    .4568897
l_lngdppcconst |  -.4910754   .2336325    -2.10   0.037    -.9526862   -.0294646
         lnpop |  -.5555062   .5723532    -0.97   0.333    -1.686361    .5753487
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |          0  (omitted)
      yearFE17 |          0  (omitted)
      yearFE18 |          0  (omitted)
      yearFE19 |          0  (omitted)
      yearFE20 |          0  (omitted)
      yearFE21 |          0  (omitted)
      yearFE22 |          0  (omitted)
      yearFE23 |  -3.597819   .7215445    -4.99   0.000    -5.023446   -2.172192
      yearFE24 |  -3.267045   .7129786    -4.58   0.000    -4.675747   -1.858343
      yearFE25 |   -2.95963   .7005691    -4.22   0.000    -4.343814   -1.575447
      yearFE26 |  -2.950313   .6804794    -4.34   0.000    -4.294804   -1.605823
      yearFE27 |   -2.73829   .6720224    -4.07   0.000    -4.066072   -1.410509
      yearFE28 |  -2.265718   .6524178    -3.47   0.001    -3.554764   -.9766714
      yearFE29 |  -2.183565   .6291159    -3.47   0.001    -3.426572   -.9405587
      yearFE30 |  -1.975331   .6063644    -3.26   0.001    -3.173385   -.7772771
      yearFE31 |  -1.772984    .583193    -3.04   0.003    -2.925256   -.6207121
      yearFE32 |  -1.851432   .5549489    -3.34   0.001      -2.9479   -.7549649
      yearFE33 |   -1.61538   .5601807    -2.88   0.005    -2.722184   -.5085752
      yearFE34 |  -1.501592   .5254546    -2.86   0.005    -2.539784   -.4633989
      yearFE35 |  -1.333038   .5125127    -2.60   0.010    -2.345661   -.3204164
      yearFE36 |  -1.457721   .5015706    -2.91   0.004    -2.448724   -.4667183
      yearFE37 |  -1.660313   .5064506    -3.28   0.001    -2.660958   -.6596688
      yearFE38 |  -1.412487   .4830242    -2.92   0.004    -2.366846   -.4581283
      yearFE39 |  -1.655043   .4872937    -3.40   0.001    -2.617837   -.6922481
      yearFE40 |  -1.421785   .4631082    -3.07   0.003    -2.336793   -.5067761
      yearFE41 |  -1.610567   .4531137    -3.55   0.001    -2.505828   -.7153052
      yearFE42 |  -1.587766   .4487072    -3.54   0.001    -2.474321   -.7012104
      yearFE43 |  -1.490675   .4446013    -3.35   0.001    -2.369118   -.6122324
      yearFE44 |   -1.49462   .4370794    -3.42   0.001    -2.358201   -.6310389
      yearFE45 |  -1.451719   .4427552    -3.28   0.001    -2.326514   -.5769238
      yearFE46 |  -1.244703   .4195604    -2.97   0.004     -2.07367   -.4157356
      yearFE47 |  -1.286995   .4018352    -3.20   0.002    -2.080941   -.4930498
      yearFE48 |  -1.053544   .3780549    -2.79   0.006    -1.800505    -.306584
      yearFE49 |   -1.13012    .347812    -3.25   0.001    -1.817327   -.4429138
      yearFE50 |  -1.197237    .349696    -3.42   0.001    -1.888166   -.5063075
      yearFE51 |  -1.197628   .3298664    -3.63   0.000    -1.849378   -.5458783
      yearFE52 |  -1.187491      .3215    -3.69   0.000     -1.82271   -.5522712
      yearFE53 |  -.9635772   .3170872    -3.04   0.003    -1.590078   -.3370767
      yearFE54 |  -1.295463   .3024045    -4.28   0.000    -1.892954   -.6979727
      yearFE55 |  -1.262309   .3047026    -4.14   0.000     -1.86434   -.6602779
      yearFE56 |  -1.019351   .2835596    -3.59   0.000    -1.579608   -.4590942
      yearFE57 |   -1.17534   .3006523    -3.91   0.000    -1.769368   -.5813116
      yearFE58 |  -1.158199   .2730571    -4.24   0.000    -1.697705   -.6186935
      yearFE59 |  -.9776657   .2498528    -3.91   0.000    -1.471325   -.4840068
      yearFE60 |  -1.007751    .250816    -4.02   0.000    -1.503313   -.5121892
      yearFE61 |  -.9755173   .2299403    -4.24   0.000    -1.429833   -.5212015
      yearFE62 |  -.7339752    .219136    -3.35   0.001    -1.166944   -.3010066
      yearFE63 |  -.4697823   .2076217    -2.26   0.025    -.8800011   -.0595636
      yearFE64 |  -.3152368   .2243284    -1.41   0.162    -.7584645     .127991
      yearFE65 |  -.1878891   .2446433    -0.77   0.444     -.671255    .2954768
      yearFE66 |  -.3098755   .1976073    -1.57   0.119    -.7003078    .0805569
      yearFE67 |  -.5061564   .2036562    -2.49   0.014    -.9085402   -.1037727
      yearFE68 |  -.4253982   .1905384    -2.23   0.027    -.8018638   -.0489326
      yearFE69 |   .2360865   .2108242     1.12   0.265    -.1804597    .6526327
      yearFE70 |          0  (omitted)
         _cons |   16.17483    10.0837     1.60   0.111    -3.748529    36.09819
---------------+----------------------------------------------------------------
       sigma_u |  2.6317781
       sigma_e |  1.6237122
           rho |  .72429941   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

.         est store tabc1

.                 estadd local "Dependent" WB loans

added macro:
          e(Dependent) : "WB loans"

.                 estadd local "FE" Yes

added macro:
                 e(FE) : "Yes"

.                 
. xtreg  lnWBlend votedallwithUSA  votednotallwithUSA                                             l_lngdppcconst lnpop  yearFE* 
>  if oda == 1 & p5 == 0   , fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,648
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.0942                                         min =          6
     between = 0.3572                                         avg =       37.2
     overall = 0.1163                                         max =         48

                                                F(51,151)         =       7.19
corr(u_i, Xb)  = -0.7974                        Prob > F          =     0.0000

                                  (Std. Err. adjusted for 152 clusters in countryid)
------------------------------------------------------------------------------------
                   |               Robust
          lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
   votedallwithUSA |   .4142848   .1496425     2.77   0.006     .1186213    .7099483
votednotallwithUSA |   .1449164     .11916     1.22   0.226    -.0905199    .3803526
    l_lngdppcconst |  -.4923313   .2336926    -2.11   0.037    -.9540608   -.0306018
             lnpop |  -.5633839   .5722105    -0.98   0.326    -1.693957     .567189
           yearFE1 |          0  (omitted)
           yearFE2 |          0  (omitted)
           yearFE3 |          0  (omitted)
           yearFE4 |          0  (omitted)
           yearFE5 |          0  (omitted)
           yearFE6 |          0  (omitted)
           yearFE7 |          0  (omitted)
           yearFE8 |          0  (omitted)
           yearFE9 |          0  (omitted)
          yearFE10 |          0  (omitted)
          yearFE11 |          0  (omitted)
          yearFE12 |          0  (omitted)
          yearFE13 |          0  (omitted)
          yearFE14 |          0  (omitted)
          yearFE15 |          0  (omitted)
          yearFE16 |          0  (omitted)
          yearFE17 |          0  (omitted)
          yearFE18 |          0  (omitted)
          yearFE19 |          0  (omitted)
          yearFE20 |          0  (omitted)
          yearFE21 |          0  (omitted)
          yearFE22 |          0  (omitted)
          yearFE23 |  -3.610727   .7213726    -5.01   0.000    -5.036014    -2.18544
          yearFE24 |  -3.281621    .712289    -4.61   0.000    -4.688961   -1.874281
          yearFE25 |  -2.958192   .7005419    -4.22   0.000    -4.342322   -1.574062
          yearFE26 |   -2.95814   .6807099    -4.35   0.000    -4.303086   -1.613194
          yearFE27 |  -2.736166   .6715788    -4.07   0.000     -4.06307   -1.409261
          yearFE28 |  -2.257342   .6520425    -3.46   0.001    -3.545647   -.9690375
          yearFE29 |  -2.176832   .6292628    -3.46   0.001    -3.420129   -.9335352
          yearFE30 |  -1.967904   .6067599    -3.24   0.001     -3.16674   -.7690686
          yearFE31 |   -1.76688   .5834337    -3.03   0.003    -2.919627   -.6141321
          yearFE32 |  -1.842545   .5550254    -3.32   0.001    -2.939164   -.7459265
          yearFE33 |  -1.624192   .5600298    -2.90   0.004    -2.730698    -.517686
          yearFE34 |  -1.511866   .5251224    -2.88   0.005    -2.549402   -.4743297
          yearFE35 |  -1.324372   .5124436    -2.58   0.011    -2.336857    -.311886
          yearFE36 |  -1.450083   .5016543    -2.89   0.004    -2.441251   -.4589145
          yearFE37 |  -1.652747   .5068892    -3.26   0.001    -2.654259   -.6512363
          yearFE38 |  -1.404035   .4832654    -2.91   0.004     -2.35887   -.4491993
          yearFE39 |  -1.643902   .4875017    -3.37   0.001    -2.607107   -.6806968
          yearFE40 |  -1.411688    .463396    -3.05   0.003    -2.327265   -.4961104
          yearFE41 |   -1.60055   .4533948    -3.53   0.001    -2.496367   -.7047326
          yearFE42 |  -1.578864   .4483483    -3.52   0.001     -2.46471   -.6930181
          yearFE43 |  -1.481739   .4443997    -3.33   0.001    -2.359783   -.6036945
          yearFE44 |  -1.484629   .4374496    -3.39   0.001    -2.348941   -.6203165
          yearFE45 |  -1.442498   .4431534    -3.26   0.001     -2.31808   -.5669157
          yearFE46 |  -1.244174   .4198102    -2.96   0.004    -2.073634    -.414713
          yearFE47 |  -1.290989   .4013337    -3.22   0.002    -2.083943   -.4980337
          yearFE48 |  -1.057378   .3776337    -2.80   0.006    -1.803507   -.3112502
          yearFE49 |  -1.128975   .3480861    -3.24   0.001    -1.816723   -.4412268
          yearFE50 |  -1.186104   .3499616    -3.39   0.001    -1.877557   -.4946498
          yearFE51 |  -1.186113    .329918    -3.60   0.000    -1.837965   -.5342614
          yearFE52 |  -1.176672   .3217246    -3.66   0.000    -1.812335   -.5410089
          yearFE53 |   -.965683   .3170401    -3.05   0.003    -1.592091   -.3392755
          yearFE54 |  -1.296614   .3022883    -4.29   0.000    -1.893875   -.6993533
          yearFE55 |  -1.263386   .3048235    -4.14   0.000    -1.865656   -.6611163
          yearFE56 |  -1.008214   .2839153    -3.55   0.001    -1.569173   -.4472543
          yearFE57 |  -1.167047   .3013844    -3.87   0.000    -1.762521   -.5715715
          yearFE58 |  -1.149031   .2731538    -4.21   0.000    -1.688728   -.6093335
          yearFE59 |  -.9673198   .2501242    -3.87   0.000    -1.461515   -.4731246
          yearFE60 |  -1.009592   .2505936    -4.03   0.000    -1.504714   -.5144691
          yearFE61 |  -.9654162   .2296344    -4.20   0.000    -1.419128   -.5117048
          yearFE62 |  -.7329043   .2190271    -3.35   0.001    -1.165658   -.3001507
          yearFE63 |  -.4668241   .2072627    -2.25   0.026    -.8763336   -.0573146
          yearFE64 |  -.3141315   .2235842    -1.40   0.162    -.7558889    .1276259
          yearFE65 |  -.1866535   .2440931    -0.76   0.446    -.6689324    .2956253
          yearFE66 |  -.2963473   .1976973    -1.50   0.136    -.6869575    .0942629
          yearFE67 |  -.5089638   .2028908    -2.51   0.013    -.9098352   -.1080923
          yearFE68 |  -.4269532    .190174    -2.25   0.026    -.8026988   -.0512076
          yearFE69 |   .2358936   .2106268     1.12   0.265    -.1802627    .6520498
          yearFE70 |          0  (omitted)
             _cons |   16.30155   10.08193     1.62   0.108    -3.618312    36.22141
-------------------+----------------------------------------------------------------
           sigma_u |  2.6457621
           sigma_e |  1.6235612
               rho |  .72644782   (fraction of variance due to u_i)
------------------------------------------------------------------------------------

.         est store tabc2

.         estadd local "Dependent" WB loans

added macro:
          e(Dependent) : "WB loans"

.         estadd local "FE" Yes

added macro:
                 e(FE) : "Yes"

.                         test _b[votedallwithUSA] = _b[votednotallwithUSA]

 ( 1)  votedallwithUSA - votednotallwithUSA = 0

       F(  1,   151) =    2.29
            Prob > F =    0.1325

.                         estadd scalar pvalue = r(p)

added scalar:
             e(pvalue) =  .13246241

. 
. xtreg  lnWBlend votedallwithUSA  votednotallwithUSA     l_pctagreeus_unga               l_lngdppcconst lnpop  yearFE*  if oda 
> == 1 & p5 == 0   , fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,297
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.0890                                         min =          6
     between = 0.0727                                         avg =       34.8
     overall = 0.0001                                         max =         48

                                                F(52,151)         =       7.66
corr(u_i, Xb)  = -0.3290                        Prob > F          =     0.0000

                                  (Std. Err. adjusted for 152 clusters in countryid)
------------------------------------------------------------------------------------
                   |               Robust
          lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
   votedallwithUSA |   .4152571   .1466155     2.83   0.005     .1255743    .7049399
votednotallwithUSA |   .1576657   .1188709     1.33   0.187    -.0771992    .3925307
 l_pctagreeus_unga |   1.298234   .5860363     2.22   0.028     .1403439    2.456124
    l_lngdppcconst |  -.2791837   .2174477    -1.28   0.201    -.7088166    .1504493
             lnpop |  -.1222225    .526841    -0.23   0.817    -1.163154    .9187094
           yearFE1 |          0  (omitted)
           yearFE2 |          0  (omitted)
           yearFE3 |          0  (omitted)
           yearFE4 |          0  (omitted)
           yearFE5 |          0  (omitted)
           yearFE6 |          0  (omitted)
           yearFE7 |          0  (omitted)
           yearFE8 |          0  (omitted)
           yearFE9 |          0  (omitted)
          yearFE10 |          0  (omitted)
          yearFE11 |          0  (omitted)
          yearFE12 |          0  (omitted)
          yearFE13 |          0  (omitted)
          yearFE14 |          0  (omitted)
          yearFE15 |          0  (omitted)
          yearFE16 |          0  (omitted)
          yearFE17 |          0  (omitted)
          yearFE18 |          0  (omitted)
          yearFE19 |          0  (omitted)
          yearFE20 |          0  (omitted)
          yearFE21 |          0  (omitted)
          yearFE22 |          0  (omitted)
          yearFE23 |  -3.282306   .6686028    -4.91   0.000     -4.60333   -1.961281
          yearFE24 |  -2.970704   .6645628    -4.47   0.000    -4.283746   -1.657662
          yearFE25 |  -2.676383   .6604873    -4.05   0.000    -3.981373   -1.371393
          yearFE26 |  -2.734063   .6478129    -4.22   0.000    -4.014011   -1.454115
          yearFE27 |  -2.564826   .6550073    -3.92   0.000    -3.858989   -1.270664
          yearFE28 |  -1.893358   .6186042    -3.06   0.003    -3.115595   -.6711206
          yearFE29 |  -1.765125   .5862453    -3.01   0.003    -2.923428   -.6068226
          yearFE30 |  -1.559312   .5519069    -2.83   0.005    -2.649769   -.4688546
          yearFE31 |  -1.359278   .5289189    -2.57   0.011    -2.404316    -.314241
          yearFE32 |  -1.370273   .4856502    -2.82   0.005     -2.32982   -.4107259
          yearFE33 |  -1.312452   .5305697    -2.47   0.014    -2.360751   -.2641529
          yearFE34 |  -1.222367   .4918202    -2.49   0.014    -2.194105   -.2506292
          yearFE35 |  -.9050013   .4616735    -1.96   0.052    -1.817175    .0071727
          yearFE36 |  -1.017475   .4446161    -2.29   0.023    -1.895947    -.139003
          yearFE37 |  -1.210732    .446841    -2.71   0.008      -2.0936    -.327864
          yearFE38 |  -.8910211   .4217131    -2.11   0.036    -1.724241   -.0578009
          yearFE39 |  -1.169782   .4241069    -2.76   0.007    -2.007732   -.3318315
          yearFE40 |  -.8780838   .3975542    -2.21   0.029    -1.663571   -.0925967
          yearFE41 |  -1.131076   .3987453    -2.84   0.005    -1.918917   -.3432355
          yearFE42 |  -1.102279   .3960494    -2.78   0.006    -1.884793    -.319765
          yearFE43 |  -.9427069   .4014789    -2.35   0.020    -1.735949   -.1494653
          yearFE44 |  -.9317335   .4001077    -2.33   0.021    -1.722266   -.1412011
          yearFE45 |  -.8931266   .4078847    -2.19   0.030    -1.699025   -.0872284
          yearFE46 |  -.6554848   .3877817    -1.69   0.093    -1.421663    .1106939
          yearFE47 |  -.8032507   .3654939    -2.20   0.029    -1.525393   -.0811082
          yearFE48 |  -.6819682   .3367531    -2.03   0.045    -1.347325   -.0166118
          yearFE49 |  -.7426567   .3181595    -2.33   0.021    -1.371276   -.1140375
          yearFE50 |  -.9989781   .3394209    -2.94   0.004    -1.669605   -.3283507
          yearFE51 |  -.9484292   .3131751    -3.03   0.003      -1.5672   -.3296583
          yearFE52 |  -.9663631   .3200057    -3.02   0.003     -1.59863   -.3340961
          yearFE53 |  -.7285421   .3027527    -2.41   0.017     -1.32672   -.1303637
          yearFE54 |  -1.077513   .2849149    -3.78   0.000    -1.640448   -.5145785
          yearFE55 |  -1.051809   .2921053    -3.60   0.000    -1.628951    -.474668
          yearFE56 |  -.7788023   .2711178    -2.87   0.005    -1.314477   -.2431281
          yearFE57 |  -.8748453   .2856051    -3.06   0.003    -1.439144   -.3105469
          yearFE58 |  -.8457771   .2499969    -3.38   0.001    -1.339721   -.3518334
          yearFE59 |  -.7024905   .2299123    -3.06   0.003    -1.156751     -.24823
          yearFE60 |  -.7512561   .2335321    -3.22   0.002    -1.212669   -.2898436
          yearFE61 |  -.7322053   .2079938    -3.52   0.001    -1.143159   -.3212514
          yearFE62 |  -.5014148   .2017798    -2.48   0.014    -.9000911   -.1027384
          yearFE63 |  -.2276594    .198221    -1.15   0.253    -.6193042    .1639855
          yearFE64 |  -.1073547     .21538    -0.50   0.619    -.5329022    .3181929
          yearFE65 |  -.0341557   .2353375    -0.15   0.885    -.4991352    .4308238
          yearFE66 |  -.2003802    .188158    -1.06   0.289    -.5721425    .1713822
          yearFE67 |  -.4851167   .2031244    -2.39   0.018    -.8864496   -.0837837
          yearFE68 |  -.3685023   .1871004    -1.97   0.051    -.7381751    .0011704
          yearFE69 |   .2950787   .2064584     1.43   0.155    -.1128415    .7029989
          yearFE70 |          0  (omitted)
             _cons |   7.430101   9.156819     0.81   0.418    -10.66193    25.52213
-------------------+----------------------------------------------------------------
           sigma_u |  1.9014655
           sigma_e |  1.6289234
               rho |  .57674154   (fraction of variance due to u_i)
------------------------------------------------------------------------------------

.         est store tabc3

.         estadd local "Dependent" WB loans

added macro:
          e(Dependent) : "WB loans"

.         estadd local "FE" Yes

added macro:
                 e(FE) : "Yes"

.                         test _b[votedallwithUSA] = _b[votednotallwithUSA]

 ( 1)  votedallwithUSA - votednotallwithUSA = 0

       F(  1,   151) =    2.11
            Prob > F =    0.1485

.                         estadd scalar pvalue = r(p)

added scalar:
             e(pvalue) =  .14846928

. 
. 
.                         
. estout taba* tabb* tabc* using "tables/Table1.xls", title("") ///
>  replace delimiter(_tab) label noabbrev style(tab) collabels(none) ///
>  drop( _cons ) indicate("Year FE = yearFE*")    ///
>  order(unsc  votedallwithUSA  votednotallwithUSA  l_pctagreeus_unga) ///
>  cells(b(star fmt(3)) se(par([ ]) abs fmt(3))) starlevels(* 0.1 ** 0.05 *** 0.01) ///
>  stats(FE N r2 pvalue Dependent, fmt(0 0 3 3 0) label("Country FE" "Observations" "R-squared" "p-value (all with vs. not all w
> ith)" "Dependent Variable"))  ///
>  mlabels("[1]" "[2]" "[3]" "[4]" "[5]" "[6]" "[7]" "[8]" "[9]") //
(output written to tables/Table1.xls)

. 
.  
.  
.  
.  *FIGURE 2
.  
.         xtreg lnODAnetdis_USA    c.votedallwithUSA##c.past_aid_dummy  c.votednotallwithUSA##c.past_aid_dummy            l_lngd
> ppcconst lnpop   yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid)  
note: past_aid_dummy omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      6,073
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.2721                                         min =          6
     between = 0.4431                                         avg =       40.0
     overall = 0.3139                                         max =         54

                                                F(60,151)         =      10.68
corr(u_i, Xb)  = -0.9116                        Prob > F          =     0.0000

                                                     (Std. Err. adjusted for 152 clusters in countryid)
-------------------------------------------------------------------------------------------------------
                                      |               Robust
                      lnODAnetdis_USA |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------------------------+----------------------------------------------------------------
                      votedallwithUSA |  -.1033096   .2220202    -0.47   0.642    -.5419769    .3353576
                       past_aid_dummy |   1.701877   .1567279    10.86   0.000     1.392214    2.011539
                                      |
   c.votedallwithUSA#c.past_aid_dummy |   .3908579   .2695995     1.45   0.149    -.1418165    .9235323
                                      |
                   votednotallwithUSA |  -.2914758   .1921519    -1.52   0.131    -.6711294    .0881778
                       past_aid_dummy |          0  (omitted)
                                      |
c.votednotallwithUSA#c.past_aid_dummy |    .415596   .2566448     1.62   0.107    -.0914826    .9226746
                                      |
                       l_lngdppcconst |  -.7186147    .197869    -3.63   0.000    -1.109564   -.3276653
                                lnpop |   1.634935   .5234592     3.12   0.002     .6006851    2.669185
                              yearFE1 |          0  (omitted)
                              yearFE2 |          0  (omitted)
                              yearFE3 |          0  (omitted)
                              yearFE4 |          0  (omitted)
                              yearFE5 |          0  (omitted)
                              yearFE6 |          0  (omitted)
                              yearFE7 |          0  (omitted)
                              yearFE8 |          0  (omitted)
                              yearFE9 |          0  (omitted)
                             yearFE10 |          0  (omitted)
                             yearFE11 |          0  (omitted)
                             yearFE12 |          0  (omitted)
                             yearFE13 |          0  (omitted)
                             yearFE14 |          0  (omitted)
                             yearFE15 |          0  (omitted)
                             yearFE16 |          0  (omitted)
                             yearFE17 |   1.861415   .7129663     2.61   0.010     .4527373    3.270093
                             yearFE18 |      1.619   .7090914     2.28   0.024     .2179783    3.020022
                             yearFE19 |   1.235675    .701873     1.76   0.080    -.1510852    2.622435
                             yearFE20 |   1.382596   .6859107     2.02   0.046     .0273739    2.737817
                             yearFE21 |   1.379389    .693938     1.99   0.049     .0083073    2.750471
                             yearFE22 |   1.085835   .6687912     1.62   0.107    -.2355615    2.407232
                             yearFE23 |   .8702663   .6567616     1.33   0.187    -.4273625    2.167895
                             yearFE24 |   .6517697   .6263516     1.04   0.300    -.5857751    1.889314
                             yearFE25 |   .4090932   .6078212     0.67   0.502    -.7918394    1.610026
                             yearFE26 |   .4492049   .5824797     0.77   0.442    -.7016579    1.600068
                             yearFE27 |   .4244609   .5664143     0.75   0.455    -.6946599    1.543582
                             yearFE28 |   .2047548   .5517553     0.37   0.711    -.8854028    1.294912
                             yearFE29 |   .2914532   .5292031     0.55   0.583    -.7541457    1.337052
                             yearFE30 |   .3993453   .5247249     0.76   0.448    -.6374056    1.436096
                             yearFE31 |   .3370827   .5061891     0.67   0.506    -.6630452    1.337211
                             yearFE32 |   .2577651   .4939176     0.52   0.603    -.7181168    1.233647
                             yearFE33 |   .2489159   .4692134     0.53   0.597    -.6781554    1.175987
                             yearFE34 |   .3239825   .4599548     0.70   0.482    -.5847956    1.232761
                             yearFE35 |   .3966442   .4553713     0.87   0.385     -.503078    1.296366
                             yearFE36 |   .2764903   .4460986     0.62   0.536    -.6049109    1.157892
                             yearFE37 |   .2190335      .4301     0.51   0.611    -.6307577    1.068825
                             yearFE38 |   .2653959   .4201511     0.63   0.529    -.5647382     1.09553
                             yearFE39 |   .3194272   .4130065     0.77   0.440    -.4965907    1.135445
                             yearFE40 |   .3930352   .4081989     0.96   0.337    -.4134838    1.199554
                             yearFE41 |     .29626   .3879475     0.76   0.446    -.4702463    1.062766
                             yearFE42 |   .1069998   .3685217     0.29   0.772    -.6211249    .8351245
                             yearFE43 |  -.0129588   .3550003    -0.04   0.971     -.714368    .6884503
                             yearFE44 |  -.1446783   .3400451    -0.43   0.671    -.8165391    .5271824
                             yearFE45 |  -.1234209   .3427768    -0.36   0.719    -.8006789    .5538371
                             yearFE46 |  -.0823008    .332439    -0.25   0.805    -.7391335    .5745319
                             yearFE47 |  -.2212881   .3092659    -0.72   0.475    -.8323353    .3897591
                             yearFE48 |  -.1046157   .2840416    -0.37   0.713    -.6658247    .4565933
                             yearFE49 |  -.2050523   .3035399    -0.68   0.500    -.8047861    .3946815
                             yearFE50 |  -.4449179   .2968166    -1.50   0.136    -1.031368    .1415319
                             yearFE51 |  -.7258701   .2744594    -2.64   0.009    -1.268147   -.1835935
                             yearFE52 |  -.7393782   .2567908    -2.88   0.005    -1.246745   -.2320111
                             yearFE53 |  -.7221057   .2472503    -2.92   0.004    -1.210623   -.2335888
                             yearFE54 |  -.4356735   .2220415    -1.96   0.052    -.8743828    .0030358
                             yearFE55 |   -.535935   .2033692    -2.64   0.009    -.9377518   -.1341183
                             yearFE56 |  -.4029706   .1925426    -2.09   0.038    -.7833961   -.0225451
                             yearFE57 |  -.1761962   .1913478    -0.92   0.359     -.554261    .2018686
                             yearFE58 |   -.118294   .2004448    -0.59   0.556    -.5143326    .2777446
                             yearFE59 |     -.1733   .1889944    -0.92   0.361    -.5467148    .2001149
                             yearFE60 |  -.0634353   .1776493    -0.36   0.722    -.4144347     .287564
                             yearFE61 |   .0578618   .1587355     0.36   0.716    -.2557676    .3714912
                             yearFE62 |   -.063683   .1489108    -0.43   0.670    -.3579008    .2305348
                             yearFE63 |   .1469985   .1333678     1.10   0.272    -.1165095    .4105065
                             yearFE64 |    .201535    .118989     1.69   0.092    -.0335633    .4366333
                             yearFE65 |   .1815891   .1093587     1.66   0.099    -.0344817    .3976598
                             yearFE66 |   .1778193   .0992243     1.79   0.075    -.0182279    .3738665
                             yearFE67 |   .1431043   .0814046     1.76   0.081    -.0177347    .3039433
                             yearFE68 |   .2013703   .0762188     2.64   0.009     .0507773    .3519632
                             yearFE69 |   .0344594   .0485826     0.71   0.479      -.06153    .1304489
                             yearFE70 |          0  (omitted)
                                _cons |  -18.64472    9.02242    -2.07   0.040     -36.4712    -.818228
--------------------------------------+----------------------------------------------------------------
                              sigma_u |  3.0124908
                              sigma_e |  1.2249065
                                  rho |  .85812525   (fraction of variance due to u_i)
-------------------------------------------------------------------------------------------------------

.                         margins, dydx(votedallwithUSA) at(past_aid_dummy = (0 (1) 1))

Average marginal effects                        Number of obs     =      6,073
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : votedallwithUSA

1._at        : past_aid_d~y    =           0

2._at        : past_aid_d~y    =           1

---------------------------------------------------------------------------------
                |            Delta-method
                |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
votedallwithUSA |
            _at |
             1  |  -.1033096   .2220202    -0.47   0.642    -.5384612     .331842
             2  |   .2875483   .1155235     2.49   0.013     .0611263    .5139702
---------------------------------------------------------------------------------

.                                 marginsplot,  level(95) plotopts(color(black) connect(none)) ciopts(color(black)) yline(0, lco
> lor(maroon)) ylabel(, angle(0) nogrid)  ///
>                                 title(" ", color(black)) ///
>                                 xtitle("Allied" "(US aid recipient in previous period)") ytitle("Effect of UNSC, all with US")
>  graphregion(color(white)) bgcolor(white) ///
>                                 xlabel(0 "no" 1 "yes") xscale(range(-0.2 1.2)) yscale(range(-0.5 1.0))  ylabel(-0.5 (0.5) 1.0)

  Variables that uniquely identify margins: past_aid_dummy

.                                 graph export "graphs/Figure2A.png", as(png) replace
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/Figure2A.png written in PNG format)

.         
. 
.                 xtreg IMFcommitments_lny    c.votedallwithUSA##c.past_aid_dummy  c.votednotallwithUSA##c.past_aid_dummy       
>           l_lngdppcconst lnpop pastIMF yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: past_aid_dummy omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,774
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1239                                         min =          6
     between = 0.3035                                         avg =       38.0
     overall = 0.1449                                         max =         53

                                                F(60,151)         =       9.74
corr(u_i, Xb)  = -0.2162                        Prob > F          =     0.0000

                                                     (Std. Err. adjusted for 152 clusters in countryid)
-------------------------------------------------------------------------------------------------------
                                      |               Robust
                   IMFcommitments_lny |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------------------------+----------------------------------------------------------------
                      votedallwithUSA |   1.343096   .5783696     2.32   0.022     .2003541    2.485838
                       past_aid_dummy |   .0735201   .1324375     0.56   0.580    -.1881498    .3351901
                                      |
   c.votedallwithUSA#c.past_aid_dummy |  -1.110613   .6234063    -1.78   0.077    -2.342339    .1211121
                                      |
                   votednotallwithUSA |  -.3132763   .4084934    -0.77   0.444    -1.120377    .4938246
                       past_aid_dummy |          0  (omitted)
                                      |
c.votednotallwithUSA#c.past_aid_dummy |   .1169251   .4521756     0.26   0.796     -.776483    1.010333
                                      |
                       l_lngdppcconst |  -.3362666   .1281595    -2.62   0.010    -.5894841   -.0830492
                                lnpop |   .0085592   .3919998     0.02   0.983    -.7659537    .7830721
                              pastIMF |   1.496375   .1575662     9.50   0.000     1.185056    1.807694
                              yearFE1 |          0  (omitted)
                              yearFE2 |          0  (omitted)
                              yearFE3 |          0  (omitted)
                              yearFE4 |          0  (omitted)
                              yearFE5 |          0  (omitted)
                              yearFE6 |          0  (omitted)
                              yearFE7 |          0  (omitted)
                              yearFE8 |          0  (omitted)
                              yearFE9 |          0  (omitted)
                             yearFE10 |          0  (omitted)
                             yearFE11 |          0  (omitted)
                             yearFE12 |          0  (omitted)
                             yearFE13 |          0  (omitted)
                             yearFE14 |          0  (omitted)
                             yearFE15 |          0  (omitted)
                             yearFE16 |          0  (omitted)
                             yearFE17 |  -.2895701   .5258484    -0.55   0.583    -1.328541    .7494006
                             yearFE18 |  -.3266805   .5340898    -0.61   0.542    -1.381935    .7285736
                             yearFE19 |  -.3283039   .5231398    -0.63   0.531    -1.361923     .705315
                             yearFE20 |  -.2251025   .5265238    -0.43   0.670    -1.265408    .8152027
                             yearFE21 |  -.1730882   .4967833    -0.35   0.728    -1.154632    .8084557
                             yearFE22 |  -.1976526   .4671184    -0.42   0.673    -1.120585    .7252795
                             yearFE23 |  -.0605715   .4548912    -0.13   0.894    -.9593451     .838202
                             yearFE24 |  -.2930371   .4607988    -0.64   0.526    -1.203483    .6174086
                             yearFE25 |  -.3486948   .4474467    -0.78   0.437    -1.232759    .5353699
                             yearFE26 |  -.5461202   .4291054    -1.27   0.205    -1.393946    .3017057
                             yearFE27 |  -.3445885   .4207377    -0.82   0.414    -1.175882    .4867045
                             yearFE28 |  -.4657265   .4187151    -1.11   0.268    -1.293023    .3615704
                             yearFE29 |  -.5064045   .4274428    -1.18   0.238    -1.350945    .3381364
                             yearFE30 |  -.5538142   .4099558    -1.35   0.179    -1.363804     .256176
                             yearFE31 |  -.3937248   .4002406    -0.98   0.327     -1.18452    .3970703
                             yearFE32 |   -.101926   .3648773    -0.28   0.780    -.8228501    .6189981
                             yearFE33 |  -.2276068   .3801413    -0.60   0.550    -.9786895     .523476
                             yearFE34 |   .0648511   .3794042     0.17   0.865    -.6847753    .8144774
                             yearFE35 |   .4682872   .3885034     1.21   0.230    -.2993174    1.235892
                             yearFE36 |   .5957837   .3815237     1.56   0.120    -.1580303    1.349598
                             yearFE37 |   .2266287   .3557137     0.64   0.525    -.4761901    .9294476
                             yearFE38 |   .8682973   .3344434     2.60   0.010     .2075044     1.52909
                             yearFE39 |   .3793258   .3104004     1.22   0.224     -.233963    .9926146
                             yearFE40 |   .3396892   .3284254     1.03   0.303    -.3092133    .9885917
                             yearFE41 |   .2422981   .3040964     0.80   0.427    -.3585352    .8431314
                             yearFE42 |   .3394919   .2814255     1.21   0.230    -.2165482     .895532
                             yearFE43 |   .3836859   .3031411     1.27   0.208      -.21526    .9826319
                             yearFE44 |   .7129801     .29885     2.39   0.018     .1225125    1.303448
                             yearFE45 |    .386217   .2704092     1.43   0.155    -.1480573    .9204912
                             yearFE46 |   .5143883   .2653443     1.94   0.054    -.0098787    1.038655
                             yearFE47 |   .4507143   .2524105     1.79   0.076    -.0479981    .9494268
                             yearFE48 |   .1495301   .2755738     0.54   0.588    -.3949484    .6940086
                             yearFE49 |   .4369649   .2702331     1.62   0.108    -.0969614    .9708912
                             yearFE50 |   .5678814    .250981     2.26   0.025     .0719934    1.063769
                             yearFE51 |   .5706224   .2439681     2.34   0.021     .0885905    1.052654
                             yearFE52 |   .5312013   .2634483     2.02   0.046     .0106804    1.051722
                             yearFE53 |   .5412371   .2510527     2.16   0.033     .0452076    1.037267
                             yearFE54 |   .5498688     .23969     2.29   0.023     .0762896    1.023448
                             yearFE55 |   .4692692   .2425979     1.93   0.055    -.0100554    .9485938
                             yearFE56 |   .4755847   .2490346     1.91   0.058    -.0164577    .9676271
                             yearFE57 |   .2582639   .2467317     1.05   0.297    -.2292283    .7457562
                             yearFE58 |   .4211662   .2410362     1.75   0.083    -.0550728    .8974052
                             yearFE59 |   .2494309   .2355348     1.06   0.291    -.2159386    .7148004
                             yearFE60 |    .004416   .2413298     0.02   0.985    -.4724032    .4812351
                             yearFE61 |  -.1355395   .2290452    -0.59   0.555    -.5880868    .3170078
                             yearFE62 |  -.2851026   .2313409    -1.23   0.220    -.7421857    .1719804
                             yearFE63 |   -.073557   .2060325    -0.36   0.722    -.4806358    .3335217
                             yearFE64 |   .3999659   .2424725     1.65   0.101     -.079111    .8790428
                             yearFE65 |   .2714047   .1955292     1.39   0.167    -.1149217    .6577312
                             yearFE66 |   .1773953   .2085792     0.85   0.396    -.2347152    .5895058
                             yearFE67 |  -.0197301    .190595    -0.10   0.918    -.3963076    .3568474
                             yearFE68 |  -.1750474   .1331929    -1.31   0.191    -.4382098     .088115
                             yearFE69 |          0  (omitted)
                             yearFE70 |          0  (omitted)
                                _cons |   2.216866   6.553007     0.34   0.736    -10.73056    15.16429
--------------------------------------+----------------------------------------------------------------
                              sigma_u |  .79786596
                              sigma_e |  1.6805447
                                  rho |  .18394195   (fraction of variance due to u_i)
-------------------------------------------------------------------------------------------------------

.                         margins, dydx(votedallwithUSA) at(past_aid_dummy = (0 (1) 1))

Average marginal effects                        Number of obs     =      5,774
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : votedallwithUSA

1._at        : past_aid_d~y    =           0

2._at        : past_aid_d~y    =           1

---------------------------------------------------------------------------------
                |            Delta-method
                |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
votedallwithUSA |
            _at |
             1  |   1.343096   .5783696     2.32   0.020     .2095126     2.47668
             2  |   .2324827   .1856403     1.25   0.210    -.1313656    .5963309
---------------------------------------------------------------------------------

.                                 marginsplot,  level(95) plotopts(color(black) connect(none)) ciopts(color(black)) yline(0, lco
> lor(maroon)) ylabel(, angle(0) nogrid)  ///
>                                 title(" ", color(black)) ///
>                                 xtitle("Allied" "(US aid recipient in previous period)") ytitle("Effect of UNSC, all with US")
>  graphregion(color(white)) bgcolor(white)  ///
>                                 xlabel(0 "no" 1 "yes") xscale(range(-0.2 1.2)) yscale(range(-0.5 2.5))  ylabel(-0.5 (0.5) 2.0)

  Variables that uniquely identify margins: past_aid_dummy

.                                 graph export "graphs/Figure2B.png", as(png) replace
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/Figure2B.png written in PNG format)

.                         
.                         
.                 xtreg lnWBlend    c.votedallwithUSA##c.past_aid_dummy  c.votednotallwithUSA##c.past_aid_dummy                 
>   l_lngdppcconst lnpop yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: past_aid_dummy omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,648
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1013                                         min =          6
     between = 0.2248                                         avg =       37.2
     overall = 0.0466                                         max =         48

                                                F(54,151)         =       7.29
corr(u_i, Xb)  = -0.6676                        Prob > F          =     0.0000

                                                     (Std. Err. adjusted for 152 clusters in countryid)
-------------------------------------------------------------------------------------------------------
                                      |               Robust
                             lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------------------------+----------------------------------------------------------------
                      votedallwithUSA |   1.064529    .364891     2.92   0.004     .3435774     1.78548
                       past_aid_dummy |   .4773383    .139232     3.43   0.001     .2022438    .7524328
                                      |
   c.votedallwithUSA#c.past_aid_dummy |  -.7887726   .4061593    -1.94   0.054    -1.591262    .0137165
                                      |
                   votednotallwithUSA |   .6384018   .3366611     1.90   0.060    -.0267728    1.303576
                       past_aid_dummy |          0  (omitted)
                                      |
c.votednotallwithUSA#c.past_aid_dummy |  -.6172879   .3779357    -1.63   0.104    -1.364013    .1294371
                                      |
                       l_lngdppcconst |  -.4319411   .2198487    -1.96   0.051    -.8663179    .0024357
                                lnpop |  -.3946533   .5483092    -0.72   0.473    -1.478002    .6886953
                              yearFE1 |          0  (omitted)
                              yearFE2 |          0  (omitted)
                              yearFE3 |          0  (omitted)
                              yearFE4 |          0  (omitted)
                              yearFE5 |          0  (omitted)
                              yearFE6 |          0  (omitted)
                              yearFE7 |          0  (omitted)
                              yearFE8 |          0  (omitted)
                              yearFE9 |          0  (omitted)
                             yearFE10 |          0  (omitted)
                             yearFE11 |          0  (omitted)
                             yearFE12 |          0  (omitted)
                             yearFE13 |          0  (omitted)
                             yearFE14 |          0  (omitted)
                             yearFE15 |          0  (omitted)
                             yearFE16 |          0  (omitted)
                             yearFE17 |          0  (omitted)
                             yearFE18 |          0  (omitted)
                             yearFE19 |          0  (omitted)
                             yearFE20 |          0  (omitted)
                             yearFE21 |          0  (omitted)
                             yearFE22 |          0  (omitted)
                             yearFE23 |  -3.332882   .6806533    -4.90   0.000    -4.677716   -1.988048
                             yearFE24 |   -3.00995   .6766204    -4.45   0.000    -4.346816   -1.673084
                             yearFE25 |  -2.695041   .6625519    -4.07   0.000     -4.00411   -1.385972
                             yearFE26 |  -2.692627   .6450939    -4.17   0.000    -3.967202   -1.418051
                             yearFE27 |  -2.476596   .6393504    -3.87   0.000    -3.739823   -1.213368
                             yearFE28 |  -1.994816   .6206221    -3.21   0.002     -3.22104   -.7685912
                             yearFE29 |  -1.896464    .595898    -3.18   0.002    -3.073839   -.7190899
                             yearFE30 |  -1.691221   .5746991    -2.94   0.004    -2.826711   -.5557309
                             yearFE31 |  -1.480898   .5526528    -2.68   0.008    -2.572829    -.388967
                             yearFE32 |  -1.566683   .5252565    -2.98   0.003    -2.604484   -.5288819
                             yearFE33 |  -1.351298    .533455    -2.53   0.012    -2.405298   -.2972983
                             yearFE34 |   -1.24279   .4976346    -2.50   0.014    -2.226016   -.2595642
                             yearFE35 |  -1.045423   .4785504    -2.18   0.030    -1.990943    -.099904
                             yearFE36 |  -1.173318   .4760017    -2.46   0.015    -2.113801   -.2328343
                             yearFE37 |  -1.378975    .482074    -2.86   0.005    -2.331456   -.4264934
                             yearFE38 |  -1.140618   .4556476    -2.50   0.013    -2.040886   -.2403503
                             yearFE39 |  -1.385299   .4576018    -3.03   0.003    -2.289428   -.4811694
                             yearFE40 |   -1.15208   .4307916    -2.67   0.008    -2.003237   -.3009225
                             yearFE41 |  -1.359923   .4285635    -3.17   0.002    -2.206678   -.5131678
                             yearFE42 |   -1.35216   .4192928    -3.22   0.002    -2.180598   -.5237214
                             yearFE43 |  -1.256373   .4208352    -2.99   0.003    -2.087858   -.4248871
                             yearFE44 |  -1.269005   .4111201    -3.09   0.002    -2.081295   -.4567138
                             yearFE45 |  -1.234018   .4189202    -2.95   0.004    -2.061721   -.4063163
                             yearFE46 |  -1.020991   .3905606    -2.61   0.010     -1.79266   -.2493216
                             yearFE47 |  -1.063755   .3750785    -2.84   0.005    -1.804835   -.3226753
                             yearFE48 |   -.837026   .3581908    -2.34   0.021    -1.544739    -.129313
                             yearFE49 |  -.9377398   .3319539    -2.82   0.005    -1.593614   -.2818657
                             yearFE50 |  -1.013703   .3328932    -3.05   0.003    -1.671433   -.3559728
                             yearFE51 |   -1.04151   .3159724    -3.30   0.001    -1.665808   -.4172123
                             yearFE52 |  -1.024791   .3136438    -3.27   0.001    -1.644488   -.4050935
                             yearFE53 |  -.8126837   .3079327    -2.64   0.009    -1.421097   -.2042705
                             yearFE54 |  -1.148827   .2931539    -3.92   0.000     -1.72804   -.5696141
                             yearFE55 |  -1.141669   .2932295    -3.89   0.000    -1.721031   -.5623064
                             yearFE56 |   -.892952   .2712266    -3.29   0.001    -1.428841   -.3570627
                             yearFE57 |  -1.059202   .2882236    -3.67   0.000    -1.628673   -.4897296
                             yearFE58 |  -1.050457   .2593942    -4.05   0.000    -1.562967   -.5379459
                             yearFE59 |   -.895603   .2391081    -3.75   0.000    -1.368032   -.4231735
                             yearFE60 |  -.9437139    .241664    -3.91   0.000    -1.421193   -.4662345
                             yearFE61 |  -.8885793   .2260962    -3.93   0.000      -1.3353   -.4418586
                             yearFE62 |  -.6766725   .2142233    -3.16   0.002    -1.099935   -.2534102
                             yearFE63 |  -.4165148   .2036425    -2.05   0.043    -.8188714   -.0141581
                             yearFE64 |  -.2810005   .2217412    -1.27   0.207    -.7191166    .1571156
                             yearFE65 |  -.1539044   .2431851    -0.63   0.528    -.6343892    .3265804
                             yearFE66 |  -.2664027    .197309    -1.35   0.179    -.6562456    .1234401
                             yearFE67 |  -.4869162   .2035673    -2.39   0.018    -.8891241   -.0847082
                             yearFE68 |  -.4167886   .1904911    -2.19   0.030    -.7931607   -.0404166
                             yearFE69 |   .2370458   .2110031     1.12   0.263    -.1798539    .6539455
                             yearFE70 |          0  (omitted)
                                _cons |   12.70269   9.599829     1.32   0.188    -6.264644    31.67002
--------------------------------------+----------------------------------------------------------------
                              sigma_u |  2.3171198
                              sigma_e |  1.6176863
                                  rho |  .67231099   (fraction of variance due to u_i)
-------------------------------------------------------------------------------------------------------

.                         margins, dydx(votedallwithUSA) at(past_aid_dummy = (0 (1) 1))

Average marginal effects                        Number of obs     =      5,648
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : votedallwithUSA

1._at        : past_aid_d~y    =           0

2._at        : past_aid_d~y    =           1

---------------------------------------------------------------------------------
                |            Delta-method
                |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
votedallwithUSA |
            _at |
             1  |   1.064529    .364891     2.92   0.004     .3493554    1.779702
             2  |   .2757559   .1634626     1.69   0.092    -.0446249    .5961368
---------------------------------------------------------------------------------

.                                 marginsplot,  level(95) plotopts(color(black) connect(none)) ciopts(color(black)) yline(0, lco
> lor(maroon)) ylabel(, angle(0) nogrid)  ///
>                                 title(" ", color(black)) ///
>                                 xtitle("Allied" "(US aid recipient in previous period)") ytitle("Effect of UNSC, all with US")
>  graphregion(color(white)) bgcolor(white)  ///
>                                 xlabel(0 "no" 1 "yes") xscale(range(-0.2 1.2)) yscale(range(-0.5 2.5))  ylabel(-0.5 (0.5) 2.0)

  Variables that uniquely identify margins: past_aid_dummy

.                                 graph export "graphs/Figure2C.png", as(png) replace
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/Figure2C.png written in PNG format)

.                                 
. 
. 
.         *Result reported in Notes to Figure 2: SUR       
. 
.         set matsize 11000
set matsize ignored.
    Matrix sizes are no longer limited by c(matsize) in modern Statas.  Matrix sizes are now limited by flavor of Stata.  See 
    limits for more details.

. 
.         *US aid vs. IMF:
.         sureg (lnODAnetdis_USA   votedallwithUSA  votednotallwithUSA unscall_pastaid unscnotall_pastaid past_aid_dummy        
>   l_lngdppcconst lnpop                            yearFE* i.countryid  if oda == 1 & p5 == 0 ) ///
>                         (IMFcommitments_lny  votedallwithUSA  votednotallwithUSA unscall_pastaid unscnotall_pastaid past_aid_d
> ummy    l_lngdppcconst lnpop pastIMF      yearFE* i.countryid  if oda == 1  & p5 == 0 ), isure
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Iteration 1:   tolerance =  .05743183
Iteration 2:   tolerance =  .00055274
Iteration 3:   tolerance =  5.622e-06
Iteration 4:   tolerance =  5.722e-08

Seemingly unrelated regression, iterated 
--------------------------------------------------------------------------
Equation             Obs   Parms        RMSE    "R-sq"       chi2        P
--------------------------------------------------------------------------
lnODAnetdi~A       7,390     243    1.117924    0.7229   19283.22   0.0000
IMFcommitm~y       7,390     244    1.558521    0.3112    3319.91   0.0000
--------------------------------------------------------------------------

------------------------------------------------------------------------------------
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
lnODAnetdis_USA    |
   votedallwithUSA |  -.1350176   .1112771    -1.21   0.225    -.3531167    .0830815
votednotallwithUSA |  -.1947771   .1093567    -1.78   0.075    -.4091123    .0195581
   unscall_pastaid |    .508244   .1483338     3.43   0.001     .2175151    .7989728
unscnotall_pastaid |   .3557969   .1416886     2.51   0.012     .0780924    .6335014
    past_aid_dummy |   1.612437   .0476263    33.86   0.000     1.519091    1.705783
    l_lngdppcconst |  -.5555264   .0495387   -11.21   0.000    -.6526204   -.4584323
             lnpop |   .6844882    .099849     6.86   0.000     .4887876    .8801887
           yearFE1 |          0  (omitted)
           yearFE2 |          0  (omitted)
           yearFE3 |          0  (omitted)
           yearFE4 |          0  (omitted)
           yearFE5 |          0  (omitted)
           yearFE6 |          0  (omitted)
           yearFE7 |          0  (omitted)
           yearFE8 |          0  (omitted)
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-------------------+----------------------------------------------------------------
IMFcommitments_lny |
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              132  |  -1.073763   .4995606    -2.15   0.032    -2.052884   -.0946418
              134  |  -.4680023   .6167327    -0.76   0.448    -1.676776    .7407716
              135  |   .9556648   .6190726     1.54   0.123    -.2576952    2.169025
              136  |   1.148535    .556734     2.06   0.039     .0573562    2.239713
              137  |   .6115083   .5827502     1.05   0.294    -.5306611    1.753678
              138  |   1.284798   .5269004     2.44   0.015     .2520925    2.317504
              139  |   .9970575    .542094     1.84   0.066    -.0654272    2.059542
              140  |   1.077981   1.107908     0.97   0.331    -1.093479     3.24944
              141  |  -.6462225   .5518615    -1.17   0.242    -1.727851    .4354062
              142  |   2.214045   .6014229     3.68   0.000     1.035278    3.392812
              144  |   .6229743   .5577588     1.12   0.264    -.4702129    1.716161
              145  |  -.9736221   .5481968    -1.78   0.076    -2.048068    .1008239
              146  |   1.604573   .7678601     2.09   0.037     .0995951    3.109551
              147  |   3.330203   .5828081     5.71   0.000      2.18792    4.472486
              148  |   .9507575   .6749082     1.41   0.159    -.3720382    2.273553
              149  |  -1.309033   .5247235    -2.49   0.013    -2.337472   -.2805938
              150  |   .9981889   .5763007     1.73   0.083    -.1313398    2.127718
              151  |  -.7061162   .5046344    -1.40   0.162    -1.695181     .282949
              152  |   .4902873   .5173638     0.95   0.343    -.5237271    1.504302
              153  |   1.055517   .5909842     1.79   0.074    -.1027904    2.213825
              154  |  -1.254938   .7793868    -1.61   0.107    -2.782508    .2726322
              155  |  -.1966746   .5449012    -0.36   0.718    -1.264661    .8713121
              156  |  -.1100335   .5436807    -0.20   0.840    -1.175628     .955561
              159  |  -.7379368   .9320276    -0.79   0.429    -2.564677    1.088804
              160  |   .7113387   .7323243     0.97   0.331    -.7239904    2.146668
              161  |  -.3595633   .6229797    -0.58   0.564    -1.580581    .8614545
              162  |   1.028214    .686173     1.50   0.134    -.3166602    2.373089
              163  |     1.2594   .5858649     2.15   0.032     .1111257    2.407674
              164  |   .3133926   .6636114     0.47   0.637    -.9872619    1.614047
              165  |   .9709008   .9146181     1.06   0.288    -.8217178    2.763519
              167  |  -.1740399   .5225683    -0.33   0.739    -1.198255    .8501752
              168  |  -.2129129   .5495463    -0.39   0.698    -1.290004     .864178
              169  |   -.244604   .5422773    -0.45   0.652    -1.307448    .8182399
              170  |  -.0913506   .5803578    -0.16   0.875    -1.228831     1.04613
              171  |   .2262743   .6003893     0.38   0.706    -.9504671    1.403016
              172  |  -.1075643   .7654039    -0.14   0.888    -1.607728      1.3926
              173  |    .462853   .9003441     0.51   0.607    -1.301789    2.227495
              174  |   .2832159    .633629     0.45   0.655    -.9586741    1.525106
              175  |  -.4764531   .5277042    -0.90   0.367    -1.510734    .5578282
              176  |   1.464085   .5704828     2.57   0.010     .3459589     2.58221
              177  |   .6460236   1.197983     0.54   0.590     -1.70198    2.994027
              179  |   .3920575   .5480759     0.72   0.474    -.6821514    1.466267
              180  |  -.2689034   .5284217    -0.51   0.611    -1.304591    .7667841
              181  |   2.697887   .5796458     4.65   0.000     1.561802    3.833972
              182  |   1.321429   .5748114     2.30   0.022     .1948193    2.448039
              183  |    .579934   .7698213     0.75   0.451    -.9288881    2.088756
              184  |   -1.26252   .5549231    -2.28   0.023    -2.350149   -.1748907
              185  |   .5751399   .8831209     0.65   0.515    -1.155745    2.306025
              186  |   -.034356   .5603197    -0.06   0.951    -1.132562     1.06385
              187  |  -.5535893   .5631276    -0.98   0.326    -1.657299    .5501204
              188  |   .3660563   .8354402     0.44   0.661    -1.271376    2.003489
              189  |  -1.089893   .8468407    -1.29   0.198     -2.74967    .5698841
              190  |   .1112816   .5559419     0.20   0.841    -.9783445    1.200908
              192  |  -.8326171   .5540633    -1.50   0.133    -1.918561     .253327
              194  |   .7258222   .5194405     1.40   0.162    -.2922624    1.743907
              195  |  -.4904976    .514762    -0.95   0.341    -1.499413    .5184173
                   |
             _cons |   1.655008   2.615066     0.63   0.527    -3.470427    6.780442
------------------------------------------------------------------------------------

.                  
.                 test [lnODAnetdis_USA]_b[unscall_pastaid] = [IMFcommitments_lny]_b[unscall_pastaid]

 ( 1)  [lnODAnetdis_USA]unscall_pastaid - [IMFcommitments_lny]unscall_pastaid = 0

           chi2(  1) =    6.99
         Prob > chi2 =    0.0082

.                 di `r(p)' / 2 // reports p-value of one-sided test: 0.004
.0040887

.         
.         *US aid vs. WB:
.         sureg (lnODAnetdis_USA   votedallwithUSA  votednotallwithUSA unscall_pastaid unscnotall_pastaid past_aid_dummy        
>   l_lngdppcconst lnpop                            yearFE* i.countryid  if oda == 1 & p5 == 0 ) ///
>                         (lnWBlend       votedallwithUSA  votednotallwithUSA unscall_pastaid unscnotall_pastaid past_aid_dummy 
>    l_lngdppcconst lnpop  yearFE* i.countryid  if oda == 1  & p5 == 0 ), isure
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE70 omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Iteration 1:   tolerance =  1.928e-11

Seemingly unrelated regression, iterated 
--------------------------------------------------------------------------
Equation             Obs   Parms        RMSE    "R-sq"       chi2        P
--------------------------------------------------------------------------
lnODAnetdi~A       7,308     239    1.088457    0.7306   19820.37   0.0000
lnWBlend           7,308     239    1.499353    0.6195   11896.91   0.0000
--------------------------------------------------------------------------

------------------------------------------------------------------------------------
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
lnODAnetdis_USA    |
   votedallwithUSA |  -.1625107   .1066462    -1.52   0.128    -.3715334     .046512
votednotallwithUSA |  -.1811918   .1040044    -1.74   0.081    -.3850367    .0226531
   unscall_pastaid |   .4501587    .146435     3.07   0.002     .1631515     .737166
unscnotall_pastaid |   .3867573   .1361097     2.84   0.004     .1199872    .6535275
    past_aid_dummy |    1.62604   .0467453    34.79   0.000     1.534421    1.717659
    l_lngdppcconst |  -.5460004   .0483314   -11.30   0.000    -.6407282   -.4512725
             lnpop |    .744188   .0973055     7.65   0.000     .5534727    .9349033
           yearFE1 |          0  (omitted)
           yearFE2 |          0  (omitted)
           yearFE3 |          0  (omitted)
           yearFE4 |          0  (omitted)
           yearFE5 |          0  (omitted)
           yearFE6 |          0  (omitted)
           yearFE7 |          0  (omitted)
           yearFE8 |          0  (omitted)
           yearFE9 |          0  (omitted)
          yearFE10 |          0  (omitted)
          yearFE11 |          0  (omitted)
          yearFE12 |          0  (omitted)
          yearFE13 |          0  (omitted)
          yearFE14 |          0  (omitted)
          yearFE15 |          0  (omitted)
          yearFE16 |          0  (omitted)
          yearFE17 |          0  (omitted)
          yearFE18 |          0  (omitted)
          yearFE19 |          0  (omitted)
          yearFE20 |          0  (omitted)
          yearFE21 |          0  (omitted)
          yearFE22 |          0  (omitted)
          yearFE23 |   .0845217   .1717173     0.49   0.623     -.252038    .4210814
          yearFE24 |  -.0878394   .1696918    -0.52   0.605    -.4204292    .2447503
          yearFE25 |  -.2605635   .1678005    -1.55   0.120    -.5894464    .0683194
          yearFE26 |  -.1973212   .1629656    -1.21   0.226     -.516728    .1220856
          yearFE27 |  -.1991557   .1615362    -1.23   0.218    -.5157608    .1174495
          yearFE28 |  -.3474185   .1600274    -2.17   0.030    -.6610663   -.0337706
          yearFE29 |  -.2450467   .1586796    -1.54   0.123     -.556053    .0659595
          yearFE30 |  -.1279522   .1569816    -0.82   0.415    -.4356306    .1797261
          yearFE31 |  -.1287616   .1551078    -0.83   0.406    -.4327673    .1752442
          yearFE32 |  -.1883566   .1531004    -1.23   0.219    -.4884278    .1117147
          yearFE33 |  -.1784065   .1497567    -1.19   0.234    -.4719243    .1151113
          yearFE34 |  -.1079996   .1484882    -0.73   0.467    -.3990312     .183032
          yearFE35 |  -.0457589   .1472103    -0.31   0.756    -.3342858    .2427679
          yearFE36 |  -.1035245   .1435381    -0.72   0.471     -.384854    .1778049
          yearFE37 |  -.1254875   .1416428    -0.89   0.376    -.4031022    .1521272
          yearFE38 |  -.0756853   .1403614    -0.54   0.590    -.3507887     .199418
          yearFE39 |  -.0204822   .1396418    -0.15   0.883    -.2941751    .2532106
          yearFE40 |   .0584374   .1383097     0.42   0.673    -.2126447    .3295196
          yearFE41 |  -.0012282   .1369224    -0.01   0.993    -.2695912    .2671347
          yearFE42 |  -.1290064     .13508    -0.96   0.340    -.3937584    .1357456
          yearFE43 |   -.208705   .1335099    -1.56   0.118    -.4703795    .0529695
          yearFE44 |  -.3138375   .1321425    -2.37   0.018    -.5728321   -.0548429
          yearFE45 |  -.2802068   .1310636    -2.14   0.033    -.5370868   -.0233268
          yearFE46 |  -.2283183   .1275457    -1.79   0.073    -.4783033    .0216667
          yearFE47 |  -.3220627   .1267101    -2.54   0.011    -.5704098   -.0737155
          yearFE48 |  -.2120711   .1259624    -1.68   0.092    -.4589528    .0348106
          yearFE49 |  -.2887928   .1252466    -2.31   0.021    -.5342716    -.043314
          yearFE50 |  -.4729879   .1246694    -3.79   0.000    -.7173354   -.2286404
          yearFE51 |  -.6781852   .1225971    -5.53   0.000    -.9184711   -.4378993
          yearFE52 |   -.753317   .1216977    -6.19   0.000    -.9918402   -.5147939
          yearFE53 |  -.7254208   .1208048    -6.00   0.000    -.9621939   -.4886477
          yearFE54 |  -.4641223   .1202565    -3.86   0.000    -.6998206   -.2284239
          yearFE55 |   -.561277   .1193363    -4.70   0.000    -.7951719   -.3273822
          yearFE56 |  -.4184152   .1186581    -3.53   0.000    -.6509807   -.1858497
          yearFE57 |  -.2007225   .1180469    -1.70   0.089    -.4320902    .0306453
          yearFE58 |  -.1466948    .117434    -1.25   0.212    -.3768612    .0834716
          yearFE59 |  -.1835592   .1169539    -1.57   0.117    -.4127847    .0456662
          yearFE60 |  -.0868107   .1163032    -0.75   0.455    -.3147608    .1411394
          yearFE61 |  -.0084943    .115973    -0.07   0.942    -.2357972    .2188085
          yearFE62 |  -.0841655   .1154232    -0.73   0.466    -.3103909    .1420598
          yearFE63 |   .0867254   .1149405     0.75   0.451    -.1385539    .3120047
          yearFE64 |   .1288807   .1146815     1.12   0.261    -.0958908    .3536523
          yearFE65 |   .1190213   .1146057     1.04   0.299    -.1056016    .3436443
          yearFE66 |   .1062389    .114622     0.93   0.354    -.1184161    .3308939
          yearFE67 |   .0757184   .1144499     0.66   0.508    -.1485994    .3000362
          yearFE68 |   .1160533   .1144962     1.01   0.311    -.1083552    .3404618
          yearFE69 |   .0058367   .1144473     0.05   0.959    -.2184759    .2301492
          yearFE70 |          0  (omitted)
                   |
         countryid |
                2  |  -2.468086   .3719739    -6.64   0.000    -3.197142   -1.739031
                3  |  -1.829751     .40421    -4.53   0.000    -2.621988   -1.037514
                4  |   1.370497    .662696     2.07   0.039     .0716366    2.669357
                5  |  -1.280947   .4450162    -2.88   0.004    -2.153163   -.4087315
                6  |  -4.661695    .379449   -12.29   0.000    -5.405401   -3.917988
                7  |  -.5841926    .422747    -1.38   0.167    -1.412761    .2443763
                8  |  -.2893106   .6356624    -0.46   0.649    -1.535186    .9565647
                9  |  -2.963821   .4054496    -7.31   0.000    -3.758487   -2.169154
               10  |  -2.441777   .4025443    -6.07   0.000    -3.230749   -1.652805
               11  |  -2.183448   .3919147    -5.57   0.000    -2.951587    -1.41531
               12  |  -4.009738   .3660955   -10.95   0.000    -4.727272   -3.292204
               13  |  -2.645233   .4005089    -6.60   0.000    -3.430216    -1.86025
               14  |  -3.282468   .3640324    -9.02   0.000    -3.995959   -2.568978
               15  |  -3.220924   .3494066    -9.22   0.000    -3.905748   -2.536099
               16  |  -3.453246   .3775732    -9.15   0.000    -4.193276   -2.713216
               17  |  -3.529173   .3806223    -9.27   0.000    -4.275179   -2.783167
               18  |  -1.063537   .4957297    -2.15   0.032    -2.035149   -.0919246
               19  |  -.2758258   .5412262    -0.51   0.610     -1.33661    .7849581
               20  |  -.3210578   .4280365    -0.75   0.453    -1.159994    .5178784
               21  |  -3.309567   .3919454    -8.44   0.000    -4.077766   -2.541368
               22  |    -1.1698   .5534147    -2.11   0.035    -2.254473   -.0851274
               23  |   -1.01479   .3585794    -2.83   0.005    -1.717593   -.3119875
               24  |  -4.685777   .4365446   -10.73   0.000    -5.541388   -3.830165
               25  |  -1.148244   .5510647    -2.08   0.037    -2.228311   -.0681774
               26  |    .126128   .5485499     0.23   0.818      -.94901    1.201266
               27  |  -2.799195   .4997221    -5.60   0.000    -3.778633   -1.819758
               28  |  -.9928262   .4277421    -2.32   0.020    -1.831185   -.1544671
               29  |  -3.948808   .3877582   -10.18   0.000      -4.7088   -3.188816
               30  |    -3.3234   .4128016    -8.05   0.000    -4.132477   -2.514324
               31  |  -2.008895   .4293847    -4.68   0.000    -2.850473   -1.167316
               32  |  -3.481191    .368093    -9.46   0.000     -4.20264   -2.759742
               33  |  -7.383054   .5291567   -13.95   0.000    -8.420182   -6.345926
               34  |  -3.336972   .3494445    -9.55   0.000    -4.021871   -2.652074
               35  |  -3.245965   .3474706    -9.34   0.000    -3.926995   -2.564935
               36  |   -3.48225   .3472452   -10.03   0.000    -4.162838   -2.801662
               37  |  -3.125184   .3949875    -7.91   0.000    -3.899345   -2.351023
               38  |  -2.331815   .3688317    -6.32   0.000    -3.054712   -1.608918
               39  |  -3.437412   .5085898    -6.76   0.000     -4.43423   -2.440594
               40  |  -1.186724   .5206129    -2.28   0.023    -2.207106   -.1663411
               41  |  -1.471868   .3928924    -3.75   0.000    -2.241923   -.7018131
               43  |  -3.474425   .3625202    -9.58   0.000    -4.184951   -2.763898
               44  |  -.5436488   .4746495    -1.15   0.252    -1.473945    .3866471
               45  |  -3.004814   .4123924    -7.29   0.000    -3.813089    -2.19654
               47  |  -4.161328   .4427833    -9.40   0.000    -5.029167   -3.293489
               48  |  -2.463339   .4997161    -4.93   0.000    -3.442764   -1.483913
               49  |  -.8198762   .6444462    -1.27   0.203    -2.082967    .4432151
               50  |  -1.973822   .4146945    -4.76   0.000    -2.786608   -1.161036
               51  |  -2.059671   .3630608    -5.67   0.000    -2.771257   -1.348085
               52  |  -4.833941   .3604911   -13.41   0.000    -5.540491   -4.127392
               53  |  -2.054308    .360071    -5.71   0.000    -2.760034   -1.348582
               54  |   -1.80682   .3670999    -4.92   0.000    -2.526323   -1.087318
               55  |  -2.743375   .4338438    -6.32   0.000    -3.593693   -1.893056
               56  |  -3.858557   .4081942    -9.45   0.000    -4.658603   -3.058511
               57  |  -1.663984   .4870716    -3.42   0.001    -2.618626   -.7093408
               58  |  -3.167637   .3668858    -8.63   0.000     -3.88672   -2.448554
               59  |  -2.141143   .4077229    -5.25   0.000    -2.940265    -1.34202
               60  |   -2.54131   .4640453    -5.48   0.000    -3.450822   -1.631798
               61  |  -3.816437   .4382636    -8.71   0.000    -4.675418   -2.957457
               62  |   1.911701   .6311897     3.03   0.002     .6745919     3.14881
               63  |  -1.947982   .4510149    -4.32   0.000    -2.831955   -1.064009
               64  |  -3.874842   .4357659    -8.89   0.000    -4.728928   -3.020757
               65  |  -1.862916   .3753449    -4.96   0.000    -2.598579   -1.127254
               66  |  -2.449227   .3447636    -7.10   0.000    -3.124951   -1.773503
               67  |  -3.143672   .3777388    -8.32   0.000    -3.884027   -2.403318
               68  |  -2.864284   .4531736    -6.32   0.000    -3.752488    -1.97608
               69  |  -3.019942   .4462221    -6.77   0.000    -3.894521   -2.145363
               70  |  -2.841476   .4952207    -5.74   0.000     -3.81209   -1.870861
               71  |  -2.912258   .3899196    -7.47   0.000    -3.676486    -2.14803
               72  |  -.7295915   .6181868    -1.18   0.238    -1.941215    .4820323
               73  |  -1.358997   .3558267    -3.82   0.000    -2.056404   -.6615895
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               35  |  -.3622964    .478642    -0.76   0.449    -1.300418    .5758247
               36  |  -1.647116   .4783315    -3.44   0.001    -2.584628   -.7096034
               37  |  -1.164742   .5440966    -2.14   0.032    -2.231152   -.0983322
               38  |   1.524896    .508067     3.00   0.003     .5291031    2.520689
               39  |    -1.1863   .7005842    -1.69   0.090     -2.55942    .1868196
               40  |  -.1798792   .7171461    -0.25   0.802     -1.58546    1.225701
               41  |   -.636952   .5412107    -1.18   0.239    -1.697705    .4238015
               43  |  -3.289207   .4993728    -6.59   0.000     -4.26796   -2.310454
               44  |  -.4886431   .6538314    -0.75   0.455    -1.770129    .7928428
               45  |  -2.057329    .568072    -3.62   0.000     -3.17073   -.9439284
               47  |  -3.656403   .6099356    -5.99   0.000    -4.851855   -2.460951
               48  |  -.9018577   .6883607    -1.31   0.190     -2.25102    .4473046
               49  |  -.1123804   .8877269    -0.13   0.899    -1.852293    1.627532
               50  |  -1.867368   .5712432    -3.27   0.001    -2.986984   -.7477524
               51  |  -.9523943   .5001175    -1.90   0.057    -1.932607     .027818
               52  |  -1.064683   .4965777    -2.14   0.032    -2.037957   -.0914081
               53  |    -.41194   .4959991    -0.83   0.406     -1.38408    .5602003
               54  |  -.2161052   .5056813    -0.43   0.669    -1.207222     .775012
               55  |  -1.558873   .5976214    -2.61   0.009     -2.73019   -.3875568
               56  |  -2.772551   .5622889    -4.93   0.000    -3.874617   -1.670485
               57  |  -1.264061   .6709428    -1.88   0.060    -2.579085     .050963
               58  |  -.5815202   .5053865    -1.15   0.250     -1.57206    .4090191
               59  |  -1.637773   .5616398    -2.92   0.004    -2.738566    -.536979
               60  |  -1.460824    .639224    -2.29   0.022     -2.71368   -.2079684
               61  |  -3.570275   .6037096    -5.91   0.000    -4.753524   -2.387026
               62  |  -.8651167    .869466    -0.99   0.320    -2.569239    .8390052
               63  |  -.9766475   .6212746    -1.57   0.116    -2.194323    .2410283
               64  |   -3.61652    .600269    -6.02   0.000    -4.793025   -2.440014
               65  |   -.863263   .5170389    -1.67   0.095    -1.876641    .1501146
               66  |   .1694379    .474913     0.36   0.721    -.7613745     1.10025
               67  |  -1.259217   .5203365    -2.42   0.016    -2.279058   -.2393765
               68  |   -1.45165   .6242482    -2.33   0.020    -2.675154   -.2281463
               69  |  -1.497022   .6146725    -2.44   0.015    -2.701758   -.2922856
               70  |  -1.691774   .6821682    -2.48   0.013    -3.028799   -.3547488
               71  |  -1.660776   .5371157    -3.09   0.002    -2.713504   -.6080489
               72  |   .0272604   .8515545     0.03   0.974    -1.641756    1.696276
               73  |  -1.096151   .4901525    -2.24   0.025    -2.056832   -.1354692
               74  |  -.7025775   .6347927    -1.11   0.268    -1.946748    .5415933
               75  |   .0129472   .5060492     0.03   0.980     -.978891    1.004785
               76  |   2.119999   .6027642     3.52   0.000     .9386033    3.301396
               77  |  -1.674222   .5567177    -3.01   0.003    -2.765369   -.5830754
               78  |  -.9655303   .5634956    -1.71   0.087    -2.069961    .1389008
               79  |   .9531814    .575327     1.66   0.098    -.1744389    2.080802
               80  |   .4313987     .69517     0.62   0.535    -.9311095    1.793907
               81  |  -1.513532    .570356    -2.65   0.008    -2.631409    -.395655
               82  |   -2.56102   .5270996    -4.86   0.000    -3.594116   -1.527924
               83  |  -2.788189   .4895537    -5.70   0.000    -3.747696   -1.828681
               84  |  -.1175417   .7493109    -0.16   0.875    -1.586164    1.351081
               85  |  -2.198455   .5492505    -4.00   0.000    -3.274966   -1.121944
               86  |  -3.419344   .5871477    -5.82   0.000    -4.570133   -2.268556
               87  |   .3130022    .552707     0.57   0.571    -.7702835    1.396288
               88  |   .5575353   .5298561     1.05   0.293    -.4809637    1.596034
               89  |  -3.843421   .6368097    -6.04   0.000    -5.091545   -2.595296
               90  |   .3960722   .5414239     0.73   0.464    -.6650991    1.457244
               91  |  -.0751751   .4742976    -0.16   0.874    -1.004781    .8544311
               92  |  -.6460692   .5428908    -1.19   0.234    -1.710116    .4179773
               93  |  -1.770145   .5327382    -3.32   0.001    -2.814293   -.7259978
               94  |  -.3914716   .8755951    -0.45   0.655    -2.107607    1.324663
               95  |   .4391103   .9384488     0.47   0.640    -1.400216    2.278436
               96  |  -.4885192   .5301418    -0.92   0.357    -1.527578    .5505395
               97  |  -1.555785    .653946    -2.38   0.017    -2.837496   -.2740749
               98  |  -.3189455   .5353638    -0.60   0.551    -1.368239    .7303482
               99  |  -.2934763   .5759751    -0.51   0.610    -1.422367    .8354142
              100  |   -1.65671   .5485242    -3.02   0.003    -2.731798   -.5816225
              101  |  -2.778538   .6383156    -4.35   0.000    -4.029614   -1.527462
              102  |  -.0021726   .8111041    -0.00   0.998    -1.591907    1.587562
              103  |   1.142162   1.788059     0.64   0.523    -2.362369    4.646692
              104  |  -.1668757   .4774308    -0.35   0.727    -1.102623    .7688715
              105  |  -1.105536    .577489    -1.91   0.056    -2.237394    .0263212
              106  |   -1.12882   .6152618    -1.83   0.067    -2.334711    .0770714
              107  |  -.2558732   .7207676    -0.36   0.723    -1.668552    1.156805
              108  |  -.0516048   .6362773    -0.08   0.935    -1.298685    1.195476
              109  |   .9028094   .4828901     1.87   0.062    -.0436379    1.849257
              110  |   1.129313   1.786166     0.63   0.527    -2.371509    4.630134
              111  |   .3743401   .5936854     0.63   0.528    -.7892619    1.537942
              112  |  -.7026433    .474551    -1.48   0.139    -1.632746    .2274596
              113  |   .1535923   .8066667     0.19   0.849    -1.427445     1.73463
              114  |   1.937537   .5640645     3.43   0.001     .8319907    3.043083
              115  |  -.3289371   .9424531    -0.35   0.727    -2.176111    1.518237
              116  |    .975479   .6105175     1.60   0.110    -.2211133    2.172071
              117  |  -.8202889   .4808522    -1.71   0.088    -1.762742     .122164
              118  |  -.9420537   .7133226    -1.32   0.187     -2.34014     .456033
              119  |  -3.479136    .477096    -7.29   0.000    -4.414227   -2.544045
              120  |  -.7299205   .5739828    -1.27   0.203    -1.854906    .3950651
              121  |  -.7860897   .4909467    -1.60   0.109    -1.748328    .1761482
              122  |  -.6539015   .5536712    -1.18   0.238    -1.739077    .4312742
              123  |  -.2167816   .6199602    -0.35   0.727    -1.431881    .9983181
              124  |  -.4216325   .4829575    -0.87   0.383    -1.368212    .5249467
              125  |  -1.125402   .4987298    -2.26   0.024    -2.102895   -.1479099
              126  |  -2.319826   .5976054    -3.88   0.000    -3.491111   -1.148541
              127  |  -1.141184   .4830848    -2.36   0.018    -2.088013   -.1943552
              128  |  -.4878581   .5344996    -0.91   0.361    -1.535458    .5597418
              129  |  -.7219523   .5159379    -1.40   0.162    -1.733172    .2892673
              130  |  -2.544968   .5565223    -4.57   0.000    -3.635731   -1.454204
              131  |  -1.661754   .5852947    -2.84   0.005    -2.808911   -.5145974
              132  |  -1.097319   .4698779    -2.34   0.020    -2.018262    -.176375
              133  |   .8121285   1.234729     0.66   0.511    -1.607895    3.232152
              134  |  -1.924132   .5806722    -3.31   0.001    -3.062229   -.7860357
              135  |   -1.49394   .5888791    -2.54   0.011    -2.648122   -.3397582
              136  |   .2000413     .52648     0.38   0.704    -.8318405    1.231923
              137  |  -.1361337   .5515986    -0.25   0.805    -1.217247    .9449797
              138  |  -.1449873   .4951734    -0.29   0.770    -1.115509    .8255347
              139  |   .3989843   .5107526     0.78   0.435    -.6020723    1.400041
              140  |   .3270043   1.063939     0.31   0.759    -1.758279    2.412287
              141  |  -1.060858    .510674    -2.08   0.038    -2.061761   -.0599556
              142  |   1.935126   .5609849     3.45   0.001     .8356157    3.034636
              144  |  -1.346411   .5300007    -2.54   0.011    -2.385193   -.3076288
              145  |  -.9664208   .5171867    -1.87   0.062    -1.980088    .0472464
              146  |  -1.080969   .7273004    -1.49   0.137    -2.506451    .3445139
              147  |   1.840398   .5436505     3.39   0.001     .7748623    2.905933
              148  |  -.1289352   .6273631    -0.21   0.837    -1.358544    1.100674
              149  |   -.874231   .4938401    -1.77   0.077     -1.84214    .0936778
              150  |  -2.893831   .5395364    -5.36   0.000    -3.951303   -1.836359
              151  |  -2.839147    .474432    -5.98   0.000    -3.769017   -1.909278
              152  |   .0526897   .4871014     0.11   0.914    -.9020115    1.007391
              153  |  -1.723089   .5638463    -3.06   0.002    -2.828208   -.6179707
              154  |  -1.407886   .7364114    -1.91   0.056    -2.851226    .0354536
              155  |  -1.583669   .5145768    -3.08   0.002    -2.592221   -.5751173
              156  |  -1.512124   .5101107    -2.96   0.003    -2.511922   -.5123252
              159  |  -.8788104   .8803938    -1.00   0.318     -2.60435    .8467297
              160  |  -1.430512    .699839    -2.04   0.041    -2.802171    -.058853
              161  |  -1.515302   .5851702    -2.59   0.010    -2.662214    -.368389
              162  |  -1.588843   .6502044    -2.44   0.015     -2.86322   -.3144653
              163  |  -2.209741    .557553    -3.96   0.000    -3.302525   -1.116957
              164  |  -1.736617   .6297386    -2.76   0.006    -2.970881   -.5023516
              165  |  -.0745851    .868833    -0.09   0.932    -1.777466    1.628296
              167  |  -1.720298   .4926752    -3.49   0.000    -2.685923   -.7546719
              168  |  -1.474313   .5181504    -2.85   0.004    -2.489869   -.4587567
              169  |  -1.119682   .5117941    -2.19   0.029     -2.12278   -.1165841
              170  |  -1.458812   .5284858    -2.76   0.006    -2.494625   -.4229991
              171  |   -2.92714    .554539    -5.28   0.000    -4.014016   -1.840263
              172  |  -1.718059   .7059858    -2.43   0.015    -3.101766   -.3343527
              173  |   -.243872   .8623141    -0.28   0.777    -1.933977    1.446233
              174  |   -.990384   .6084831    -1.63   0.104    -2.182989    .2022209
              175  |   1.125249   .4941793     2.28   0.023     .1566755    2.093823
              176  |   1.743132   .5378122     3.24   0.001     .6890399    2.797225
              177  |   1.113693   1.150326     0.97   0.333    -1.140906    3.368291
              179  |   .4124798   .5101174     0.81   0.419    -.5873319    1.412292
              180  |   .0847235   .4917355     0.17   0.863    -.8790604    1.048507
              181  |  -.2345987    .532839    -0.44   0.660    -1.278944    .8097466
              182  |    .384886   .5462343     0.70   0.481    -.6857136    1.455486
              183  |  -4.445184   .7113184    -6.25   0.000    -5.839343   -3.051026
              184  |  -1.483064    .507311    -2.92   0.003    -2.477376   -.4887531
              185  |  -.3147601   .8315301    -0.38   0.705    -1.944529    1.315009
              186  |  -1.853927   .5276111    -3.51   0.000    -2.888026   -.8198282
              187  |  -.5195019    .524166    -0.99   0.322    -1.546848    .5078445
              188  |  -.8090978   .7987241    -1.01   0.311    -2.374568    .7563728
              189  |  -.2140651   .8040322    -0.27   0.790    -1.789939    1.361809
              190  |  -.1213207    .517506    -0.23   0.815    -1.135614    .8929725
              192  |  -3.502301   .5202855    -6.73   0.000    -4.522042    -2.48256
              194  |  -.0560768   .4872032    -0.12   0.908    -1.010977    .8988238
              195  |  -2.380195   .4824718    -4.93   0.000    -3.325822   -1.434568
                   |
             _cons |  -3.512997   2.503466    -1.40   0.161    -8.419699    1.393705
------------------------------------------------------------------------------------

.         
.                 test [lnODAnetdis_USA]_b[unscall_pastaid] = [lnWBlend]_b[unscall_pastaid]

 ( 1)  [lnODAnetdis_USA]unscall_pastaid - [lnWBlend]unscall_pastaid = 0

           chi2(  1) =    1.96
         Prob > chi2 =    0.1610

.                 di `r(p)' / 2 // reports p-value of one-sided test: 0.081
.08052399

. 
.                                         
.                 
.                                 
.  *FIGURE 3
.  
.  
. xtreg lnODAnetdis_USA    c.votedallwithUSA##c.past_unga c.votednotallwithUSA##c.past_unga               l_lngdppcconst lnpop  
>  yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: past_ungaUSA omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,155
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1701                                         min =          5
     between = 0.3243                                         avg =       33.9
     overall = 0.2501                                         max =         51

                                                F(57,151)         =       6.86
corr(u_i, Xb)  = -0.8891                        Prob > F          =     0.0000

                                                   (Std. Err. adjusted for 152 clusters in countryid)
-----------------------------------------------------------------------------------------------------
                                    |               Robust
                    lnODAnetdis_USA |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------------------------+----------------------------------------------------------------
                    votedallwithUSA |  -.3584897   .2524181    -1.42   0.158    -.8572171    .1402378
                       past_ungaUSA |   3.056279   .9983166     3.06   0.003     1.083806    5.028752
                                    |
   c.votedallwithUSA#c.past_ungaUSA |   2.045134   .9360298     2.18   0.030     .1957272     3.89454
                                    |
                 votednotallwithUSA |  -.4364225   .3221404    -1.35   0.178    -1.072907    .2000622
                       past_ungaUSA |          0  (omitted)
                                    |
c.votednotallwithUSA#c.past_ungaUSA |   2.087536   1.291936     1.62   0.108    -.4650694    4.640141
                                    |
                     l_lngdppcconst |  -.7887233   .1825215    -4.32   0.000    -1.149349   -.4280975
                              lnpop |   1.685314   .5148033     3.27   0.001     .6681667    2.702462
                            yearFE1 |          0  (omitted)
                            yearFE2 |          0  (omitted)
                            yearFE3 |          0  (omitted)
                            yearFE4 |          0  (omitted)
                            yearFE5 |          0  (omitted)
                            yearFE6 |          0  (omitted)
                            yearFE7 |          0  (omitted)
                            yearFE8 |          0  (omitted)
                            yearFE9 |          0  (omitted)
                           yearFE10 |          0  (omitted)
                           yearFE11 |          0  (omitted)
                           yearFE12 |          0  (omitted)
                           yearFE13 |          0  (omitted)
                           yearFE14 |          0  (omitted)
                           yearFE15 |          0  (omitted)
                           yearFE16 |   .2349071   .8570252     0.27   0.784    -1.458402    1.928216
                           yearFE17 |   .5022609   .7897551     0.64   0.526    -1.058136    2.062658
                           yearFE18 |   .4370278   .7883473     0.55   0.580    -1.120588    1.994644
                           yearFE19 |   .2270877   .7656044     0.30   0.767    -1.285593    1.739768
                           yearFE20 |   .4165495   .7559664     0.55   0.582    -1.077088    1.910187
                           yearFE21 |          0  (omitted)
                           yearFE22 |          0  (omitted)
                           yearFE23 |          0  (omitted)
                           yearFE24 |          0  (omitted)
                           yearFE25 |  -.2320424   .6441011    -0.36   0.719    -1.504657    1.040572
                           yearFE26 |  -.2483694    .614415    -0.40   0.687     -1.46233     .965591
                           yearFE27 |  -.3726581   .6048073    -0.62   0.539    -1.567636    .8223194
                           yearFE28 |  -.7063811   .5924256    -1.19   0.235    -1.876895    .4641327
                           yearFE29 |  -.7076381   .5662896    -1.25   0.213    -1.826512    .4112362
                           yearFE30 |  -.5529156   .5635713    -0.98   0.328    -1.666419     .560588
                           yearFE31 |  -.5727087   .5331225    -1.07   0.284    -1.626052    .4806342
                           yearFE32 |  -.4473479   .5147922    -0.87   0.386    -1.464474     .569778
                           yearFE33 |  -.3876023   .4837881    -0.80   0.424     -1.34347    .5682657
                           yearFE34 |  -.3257438   .4758861    -0.68   0.495    -1.265999    .6145115
                           yearFE35 |  -.4179992   .4734224    -0.88   0.379    -1.353387    .5173882
                           yearFE36 |   -.440708   .4632209    -0.95   0.343    -1.355939    .4745234
                           yearFE37 |  -.4626263   .4574858    -1.01   0.314    -1.366526    .4412738
                           yearFE38 |  -.2513543   .4314603    -0.58   0.561    -1.103833    .6011245
                           yearFE39 |   -.031517   .4209427    -0.07   0.940    -.8632152    .8001812
                           yearFE40 |   .1221686    .417185     0.29   0.770     -.702105    .9464422
                           yearFE41 |   .1413115   .3967001     0.36   0.722    -.6424881    .9251112
                           yearFE42 |   .0382259   .3800338     0.10   0.920    -.7126445    .7890963
                           yearFE43 |  -.0586658   .3692681    -0.16   0.874    -.7882652    .6709337
                           yearFE44 |  -.1867088   .3594386    -0.52   0.604    -.8968871    .5234696
                           yearFE45 |  -.1466081    .363984    -0.40   0.688    -.8657672     .572551
                           yearFE46 |  -.0065992   .3576125    -0.02   0.985    -.7131695    .6999711
                           yearFE47 |  -.2154953   .3293928    -0.65   0.514    -.8663094    .4353187
                           yearFE48 |  -.2939194   .3209046    -0.92   0.361    -.9279624    .3401236
                           yearFE49 |  -.4864873   .3328299    -1.46   0.146    -1.144092    .1711177
                           yearFE50 |  -.7449357   .3108999    -2.40   0.018    -1.359211   -.1306601
                           yearFE51 |  -1.140748   .2791413    -4.09   0.000    -1.692275   -.5892211
                           yearFE52 |  -1.196871    .260875    -4.59   0.000    -1.712307   -.6814341
                           yearFE53 |  -1.294449   .2481795    -5.22   0.000    -1.784802   -.8040962
                           yearFE54 |  -1.046229   .2343481    -4.46   0.000    -1.509253   -.5832038
                           yearFE55 |    -.95254   .2190092    -4.35   0.000    -1.385258   -.5198218
                           yearFE56 |  -.8224555   .2113788    -3.89   0.000    -1.240097   -.4048136
                           yearFE57 |  -.5082266   .2023661    -2.51   0.013    -.9080613   -.1083919
                           yearFE58 |  -.4344952   .1966548    -2.21   0.029    -.8230455    -.045945
                           yearFE59 |  -.3779184   .1845975    -2.05   0.042     -.742646   -.0131908
                           yearFE60 |  -.1733203   .1634549    -1.06   0.291    -.4962743    .1496338
                           yearFE61 |  -.0124072   .1532028    -0.08   0.936    -.3151052    .2902907
                           yearFE62 |  -.0184181   .1427491    -0.13   0.898    -.3004615    .2636253
                           yearFE63 |   .2063703   .1421552     1.45   0.149    -.0744998    .4872403
                           yearFE64 |   .3737875   .1477288     2.53   0.012      .081905      .66567
                           yearFE65 |    .382704   .1446933     2.64   0.009     .0968192    .6685888
                           yearFE66 |   .3686466   .1261918     2.92   0.004      .119317    .6179762
                           yearFE67 |    .319852   .0993292     3.22   0.002     .1235975    .5161066
                           yearFE68 |   .2949023   .0846131     3.49   0.001     .1277239    .4620806
                           yearFE69 |   .0765034   .0479008     1.60   0.112    -.0181389    .1711457
                           yearFE70 |          0  (omitted)
                              _cons |  -18.02987   8.696599    -2.07   0.040     -35.2126   -.8471387
------------------------------------+----------------------------------------------------------------
                            sigma_u |  3.0384169
                            sigma_e |  1.2054958
                                rho |  .86399688   (fraction of variance due to u_i)
-----------------------------------------------------------------------------------------------------

. margins, dydx(votedallwithUSA) at(past_unga = (0 (0.05) 1))

Average marginal effects                        Number of obs     =      5,155
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : votedallwithUSA

1._at        : past_ungaUSA    =           0

2._at        : past_ungaUSA    =         .05

3._at        : past_ungaUSA    =          .1

4._at        : past_ungaUSA    =         .15

5._at        : past_ungaUSA    =          .2

6._at        : past_ungaUSA    =         .25

7._at        : past_ungaUSA    =          .3

8._at        : past_ungaUSA    =         .35

9._at        : past_ungaUSA    =          .4

10._at       : past_ungaUSA    =         .45

11._at       : past_ungaUSA    =          .5

12._at       : past_ungaUSA    =         .55

13._at       : past_ungaUSA    =          .6

14._at       : past_ungaUSA    =         .65

15._at       : past_ungaUSA    =          .7

16._at       : past_ungaUSA    =         .75

17._at       : past_ungaUSA    =          .8

18._at       : past_ungaUSA    =         .85

19._at       : past_ungaUSA    =          .9

20._at       : past_ungaUSA    =         .95

21._at       : past_ungaUSA    =           1

---------------------------------------------------------------------------------
                |            Delta-method
                |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
votedallwithUSA |
            _at |
             1  |  -.3584897   .2524181    -1.42   0.156    -.8532201    .1362408
             2  |   -.256233   .2124907    -1.21   0.228    -.6727071    .1602411
             3  |  -.1539763   .1759842    -0.87   0.382    -.4988989    .1909463
             4  |  -.0517196   .1454968    -0.36   0.722    -.3368881    .2334489
             5  |   .0505371   .1254949     0.40   0.687    -.1954284    .2965026
             6  |   .1527938   .1212823     1.26   0.208    -.0849151    .3905026
             7  |   .2550505   .1343524     1.90   0.058    -.0082753    .5183763
             8  |   .3573071   .1605381     2.23   0.026     .0426582    .6719561
             9  |   .4595639   .1946155     2.36   0.018     .0781246    .8410031
            10  |   .5618205   .2331493     2.41   0.016     .1048562    1.018785
            11  |   .6640772   .2742678     2.42   0.015     .1265222    1.201632
            12  |   .7663339   .3169666     2.42   0.016     .1450909    1.387577
            13  |   .8685906   .3606848     2.41   0.016     .1616614     1.57552
            14  |   .9708472   .4050925     2.40   0.017     .1768804    1.764814
            15  |   1.073104   .4499858     2.38   0.017      .191148     1.95506
            16  |   1.175361   .4952325     2.37   0.018     .2047228    2.145999
            17  |   1.277617   .5407439     2.36   0.018     .2177788    2.337456
            18  |   1.379874   .5864585     2.35   0.019     .2304366    2.529312
            19  |   1.482131    .632332     2.34   0.019     .2427828    2.721479
            20  |   1.584387   .6783324     2.34   0.020     .2548804    2.913894
            21  |   1.686644   .7244354     2.33   0.020     .2667769    3.106511
---------------------------------------------------------------------------------

. marginsplot, level(95) title(" ", color(black) size(medium)) xtitle("Allied" "(political proximity to US in previous period)")
>  ytitle("Effect of UNSC, all with US") legend(off) graphregion(color(white)) bgcolor(white)  ///
>         ylabel(-3 (1) 3 , nogrid angle(0) axis(1))  yscale(range(-3 3) axis(1)) xscale(range(0 1)) xlabel(0 (0.2) 1) plotopts(
> msize(small) mcolor(black) lcolor(black)) ciopts(lwidth(thin) lcolor(black)) yline(0, lcolor(maroon)) ///
>         addplot(hist past_unga if e(sample) , below color("252 205 85") fcolor(none)  yaxis(2) ylabel(0 (2) 6, axis(2) angle(0
> )) yscale(alt range(0 8) axis(2) ))  

  Variables that uniquely identify margins: past_ungaUSA

.                         graph export "graphs/Figure3A.png", replace     
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/Figure3A.png written in PNG format)

. 
. xtreg IMFcommitments_lny  c.votedallwithUSA##c.past_unga c.votednotallwithUSA##c.past_unga              l_lngdppcconst lnpop p
> astIMF  yearFE*  if oda == 1  & p5 == 0 , fe cluster(countryid) 
note: past_ungaUSA omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,024
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1186                                         min =          5
     between = 0.0572                                         avg =       33.1
     overall = 0.0637                                         max =         50

                                                F(57,151)         =      10.59
corr(u_i, Xb)  = -0.4442                        Prob > F          =     0.0000

                                                   (Std. Err. adjusted for 152 clusters in countryid)
-----------------------------------------------------------------------------------------------------
                                    |               Robust
                 IMFcommitments_lny |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------------------------+----------------------------------------------------------------
                    votedallwithUSA |   .9097987   .3686186     2.47   0.015     .1814824    1.638115
                       past_ungaUSA |  -.1673227   .5149587    -0.32   0.746    -1.184778    .8501321
                                    |
   c.votedallwithUSA#c.past_ungaUSA |  -1.669541   .9210693    -1.81   0.072    -3.489389    .1503063
                                    |
                 votednotallwithUSA |    .098188   .3018782     0.33   0.745    -.4982627    .6946387
                       past_ungaUSA |          0  (omitted)
                                    |
c.votednotallwithUSA#c.past_ungaUSA |  -1.738093   1.249751    -1.39   0.166    -4.207349    .7311631
                                    |
                     l_lngdppcconst |  -.5372223   .1707501    -3.15   0.002    -.8745902   -.1998544
                              lnpop |  -.2330935   .4500026    -0.52   0.605    -1.122208    .6560211
                            pastIMF |   1.519343    .171667     8.85   0.000     1.180164    1.858523
                            yearFE1 |          0  (omitted)
                            yearFE2 |          0  (omitted)
                            yearFE3 |          0  (omitted)
                            yearFE4 |          0  (omitted)
                            yearFE5 |          0  (omitted)
                            yearFE6 |          0  (omitted)
                            yearFE7 |          0  (omitted)
                            yearFE8 |          0  (omitted)
                            yearFE9 |          0  (omitted)
                           yearFE10 |          0  (omitted)
                           yearFE11 |          0  (omitted)
                           yearFE12 |          0  (omitted)
                           yearFE13 |          0  (omitted)
                           yearFE14 |          0  (omitted)
                           yearFE15 |          0  (omitted)
                           yearFE16 |  -.1097558   .6871407    -0.16   0.873    -1.467408    1.247896
                           yearFE17 |  -.7547846   .6117412    -1.23   0.219    -1.963462     .453893
                           yearFE18 |  -.7388247   .6101446    -1.21   0.228    -1.944348    .4666984
                           yearFE19 |  -.7089363   .5984028    -1.18   0.238     -1.89126    .4733873
                           yearFE20 |  -.5945171   .6167448    -0.96   0.337    -1.813081    .6240467
                           yearFE21 |          0  (omitted)
                           yearFE22 |          0  (omitted)
                           yearFE23 |          0  (omitted)
                           yearFE24 |          0  (omitted)
                           yearFE25 |   -.717448   .5127211    -1.40   0.164    -1.730482    .2955858
                           yearFE26 |  -.8849063   .4927445    -1.80   0.075     -1.85847    .0886577
                           yearFE27 |  -.6413259   .4900728    -1.31   0.193    -1.609611    .3269594
                           yearFE28 |  -.7420984   .4969509    -1.49   0.137    -1.723973    .2397767
                           yearFE29 |  -.8260491   .4974707    -1.66   0.099    -1.808951    .1568529
                           yearFE30 |  -.9151132   .4782247    -1.91   0.058    -1.859989    .0297627
                           yearFE31 |  -.6547399   .4599565    -1.42   0.157    -1.563521    .2540416
                           yearFE32 |  -.3267895   .4319629    -0.76   0.451    -1.180261    .5266823
                           yearFE33 |  -.4837017   .4424356    -1.09   0.276    -1.357865     .390462
                           yearFE34 |  -.1823791    .437792    -0.42   0.678    -1.047368      .68261
                           yearFE35 |   .2307284   .4454438     0.52   0.605    -.6493789    1.110836
                           yearFE36 |    .339376   .4418892     0.77   0.444    -.5337082     1.21246
                           yearFE37 |   -.025402   .4092694    -0.06   0.951     -.834036    .7832319
                           yearFE38 |    .636101   .3811013     1.67   0.097    -.1168786    1.389081
                           yearFE39 |   .1282881   .3574259     0.36   0.720    -.5779136    .8344897
                           yearFE40 |   .0892666   .3859544     0.23   0.817    -.6733018    .8518349
                           yearFE41 |  -.0211964   .3453007    -0.06   0.951    -.7034412    .6610484
                           yearFE42 |   .1434779   .3248004     0.44   0.659    -.4982623    .7852181
                           yearFE43 |   .1965156    .349462     0.56   0.575     -.493951    .8869821
                           yearFE44 |   .5475771   .3463238     1.58   0.116     -.136689    1.231843
                           yearFE45 |   .2100229   .3177243     0.66   0.510    -.4177365    .8377823
                           yearFE46 |   .3817067    .308548     1.24   0.218    -.2279221    .9913356
                           yearFE47 |   .3470101   .3085895     1.12   0.263    -.2627007     .956721
                           yearFE48 |  -.0715032   .3194736    -0.22   0.823    -.7027188    .5597125
                           yearFE49 |   .3038606   .3151131     0.96   0.336    -.3187395    .9264607
                           yearFE50 |   .3824047    .288296     1.33   0.187    -.1872102    .9520196
                           yearFE51 |   .4949582   .2844046     1.74   0.084    -.0669682    1.056885
                           yearFE52 |   .4833794   .3059059     1.58   0.116     -.121029    1.087788
                           yearFE53 |    .501173   .2942928     1.70   0.091    -.0802905    1.082637
                           yearFE54 |   .5380336   .2862976     1.88   0.062    -.0276329      1.1037
                           yearFE55 |    .417953   .2820075     1.48   0.140    -.1392372    .9751432
                           yearFE56 |   .4498205   .2853768     1.58   0.117    -.1140267    1.013668
                           yearFE57 |   .2292005    .292008     0.78   0.434    -.3477486    .8061497
                           yearFE58 |   .4078691   .2807498     1.45   0.148    -.1468361    .9625743
                           yearFE59 |   .2346037   .2651588     0.88   0.378    -.2892968    .7585041
                           yearFE60 |  -.0853695   .2572667    -0.33   0.740    -.5936767    .4229377
                           yearFE61 |  -.2423755   .2379515    -1.02   0.310    -.7125199    .2277688
                           yearFE62 |  -.3943653    .233744    -1.69   0.094    -.8561964    .0674658
                           yearFE63 |  -.1685828   .2098046    -0.80   0.423    -.5831145     .245949
                           yearFE64 |   .3511395   .2515349     1.40   0.165    -.1458428    .8481218
                           yearFE65 |   .2176337   .2008493     1.08   0.280    -.1792041    .6144715
                           yearFE66 |    .148996   .2097447     0.71   0.479    -.2654173    .5634094
                           yearFE67 |  -.0646464   .1938762    -0.33   0.739    -.4477068    .3184141
                           yearFE68 |  -.1938704   .1337158    -1.45   0.149    -.4580659    .0703252
                           yearFE69 |          0  (omitted)
                           yearFE70 |          0  (omitted)
                              _cons |   7.742485   7.528402     1.03   0.305    -7.132123    22.61709
------------------------------------+----------------------------------------------------------------
                            sigma_u |  1.1086521
                            sigma_e |  1.7448611
                                rho |   .2876018   (fraction of variance due to u_i)
-----------------------------------------------------------------------------------------------------

. margins, dydx(votedallwithUSA) at(past_unga = (0 (0.05) 1))

Average marginal effects                        Number of obs     =      5,024
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : votedallwithUSA

1._at        : past_ungaUSA    =           0

2._at        : past_ungaUSA    =         .05

3._at        : past_ungaUSA    =          .1

4._at        : past_ungaUSA    =         .15

5._at        : past_ungaUSA    =          .2

6._at        : past_ungaUSA    =         .25

7._at        : past_ungaUSA    =          .3

8._at        : past_ungaUSA    =         .35

9._at        : past_ungaUSA    =          .4

10._at       : past_ungaUSA    =         .45

11._at       : past_ungaUSA    =          .5

12._at       : past_ungaUSA    =         .55

13._at       : past_ungaUSA    =          .6

14._at       : past_ungaUSA    =         .65

15._at       : past_ungaUSA    =          .7

16._at       : past_ungaUSA    =         .75

17._at       : past_ungaUSA    =          .8

18._at       : past_ungaUSA    =         .85

19._at       : past_ungaUSA    =          .9

20._at       : past_ungaUSA    =         .95

21._at       : past_ungaUSA    =           1

---------------------------------------------------------------------------------
                |            Delta-method
                |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
votedallwithUSA |
            _at |
             1  |   .9097987   .3686186     2.47   0.014     .1873195    1.632278
             2  |   .8263216      .3289     2.51   0.012     .1816895    1.470954
             3  |   .7428446   .2910542     2.55   0.011     .1723888      1.3133
             4  |   .6593675   .2559135     2.58   0.010     .1577862    1.160949
             5  |   .5758904   .2247504     2.56   0.010     .1353877    1.016393
             6  |   .4924133   .1994383     2.47   0.014     .1015215    .8833052
             7  |   .4089363    .182429     2.24   0.025     .0513819    .7664906
             8  |   .3254592   .1761446     1.85   0.065    -.0197778    .6706963
             9  |   .2419821   .1817012     1.33   0.183    -.1141457    .5981099
            10  |   .1585051   .1981049     0.80   0.424    -.2297735    .5467836
            11  |    .075028   .2229746     0.34   0.737    -.3619941    .5120501
            12  |  -.0084491   .2538338    -0.03   0.973    -.5059542     .489056
            13  |  -.0919262   .2887687    -0.32   0.750    -.6579025    .4740502
            14  |  -.1754032   .3264736    -0.54   0.591    -.8152796    .4644732
            15  |  -.2588803   .3660935    -0.71   0.479    -.9764103    .4586498
            16  |  -.3423573   .4070697    -0.84   0.400    -1.140199    .4554847
            17  |  -.4258344   .4490311    -0.95   0.343    -1.305919    .4542503
            18  |  -.5093115   .4917255    -1.04   0.300    -1.473076    .4544527
            19  |  -.5927885   .5349773    -1.11   0.268    -1.641325    .4557478
            20  |  -.6762656   .5786618    -1.17   0.243    -1.810422    .4578906
            21  |  -.7597427   .6226877    -1.22   0.222    -1.980188    .4607027
---------------------------------------------------------------------------------

. marginsplot, level(95) title(" ", color(black) size(medium)) xtitle("Allied" "(political proximity to US in previous period)")
>  ytitle("Effect of UNSC, all with US") legend(off) graphregion(color(white)) bgcolor(white) ///
>         ylabel(,nogrid angle(0))  xscale(range(0 1)) xlabel(0 (0.2) 1) plotopts(msize(small) mcolor(black) lcolor(black)) ciop
> ts(lwidth(thin) lcolor(black)) yline(0, lcolor(maroon)) ///
>         addplot(hist past_unga if e(sample) , below color("252 205 85") fcolor(none)  yaxis(2) ylabel(0 (2) 6, axis(2) angle(0
> )) yscale(alt range(0 8) axis(2) ))  

  Variables that uniquely identify margins: past_ungaUSA

.                 graph export "graphs/Figure3B.png", replace     
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/Figure3B.png written in PNG format)

.         
. xtreg lnWBlend  c.votedallwithUSA##c.past_unga c.votednotallwithUSA##c.past_unga                l_lngdppcconst lnpop  yearFE* 
>  if oda == 1  & p5 == 0 , fe cluster(countryid) 
note: past_ungaUSA omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      4,926
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.0745                                         min =          5
     between = 0.0483                                         avg =       32.4
     overall = 0.0002                                         max =         46

                                                F(52,151)         =       8.44
corr(u_i, Xb)  = -0.3722                        Prob > F          =     0.0000

                                                   (Std. Err. adjusted for 152 clusters in countryid)
-----------------------------------------------------------------------------------------------------
                                    |               Robust
                           lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------------------------+----------------------------------------------------------------
                    votedallwithUSA |   .9608429   .3318889     2.90   0.004     .3050972    1.616589
                       past_ungaUSA |   2.880961   .8742825     3.30   0.001     1.153555    4.608368
                                    |
   c.votedallwithUSA#c.past_ungaUSA |  -2.165184   1.309087    -1.65   0.100    -4.751677    .4213089
                                    |
                 votednotallwithUSA |   -.001732   .3680292    -0.00   0.996    -.7288837    .7254198
                       past_ungaUSA |          0  (omitted)
                                    |
c.votednotallwithUSA#c.past_ungaUSA |   .8036114   1.505763     0.53   0.594    -2.171474    3.778697
                                    |
                     l_lngdppcconst |  -.3851907   .2256484    -1.71   0.090    -.8310266    .0606452
                              lnpop |  -.1445498   .5254285    -0.28   0.784    -1.182691    .8935912
                            yearFE1 |          0  (omitted)
                            yearFE2 |          0  (omitted)
                            yearFE3 |          0  (omitted)
                            yearFE4 |          0  (omitted)
                            yearFE5 |          0  (omitted)
                            yearFE6 |          0  (omitted)
                            yearFE7 |          0  (omitted)
                            yearFE8 |          0  (omitted)
                            yearFE9 |          0  (omitted)
                           yearFE10 |          0  (omitted)
                           yearFE11 |          0  (omitted)
                           yearFE12 |          0  (omitted)
                           yearFE13 |          0  (omitted)
                           yearFE14 |          0  (omitted)
                           yearFE15 |          0  (omitted)
                           yearFE16 |          0  (omitted)
                           yearFE17 |          0  (omitted)
                           yearFE18 |          0  (omitted)
                           yearFE19 |          0  (omitted)
                           yearFE20 |          0  (omitted)
                           yearFE21 |          0  (omitted)
                           yearFE22 |          0  (omitted)
                           yearFE23 |          0  (omitted)
                           yearFE24 |          0  (omitted)
                           yearFE25 |  -3.091179   .6831825    -4.52   0.000    -4.441011   -1.741348
                           yearFE26 |  -3.208175   .6682132    -4.80   0.000     -4.52843    -1.88792
                           yearFE27 |  -2.971989   .6648844    -4.47   0.000    -4.285666   -1.658311
                           yearFE28 |  -2.454807   .6593397    -3.72   0.000     -3.75753   -1.152085
                           yearFE29 |  -2.414467    .648352    -3.72   0.000     -3.69548   -1.133454
                           yearFE30 |  -2.104609   .5966782    -3.53   0.001    -3.283525   -.9256931
                           yearFE31 |  -1.848849   .5740656    -3.22   0.002    -2.983087   -.7146107
                           yearFE32 |  -1.823453   .5233522    -3.48   0.001    -2.857491    -.789414
                           yearFE33 |  -1.451564   .5311835    -2.73   0.007    -2.501076   -.4020522
                           yearFE34 |  -1.360788   .4920378    -2.77   0.006    -2.332956   -.3886208
                           yearFE35 |  -1.253738    .493931    -2.54   0.012    -2.229646   -.2778299
                           yearFE36 |  -1.435974   .4759143    -3.02   0.003    -2.376285   -.4956628
                           yearFE37 |  -1.705149   .4806226    -3.55   0.001    -2.654762   -.7555351
                           yearFE38 |  -1.314002   .4567006    -2.88   0.005     -2.21635   -.4116534
                           yearFE39 |  -1.410092   .4405814    -3.20   0.002    -2.280592   -.5395915
                           yearFE40 |  -1.026516    .414051    -2.48   0.014    -1.844598   -.2084346
                           yearFE41 |   -1.14372   .4072634    -2.81   0.006    -1.948391     -.33905
                           yearFE42 |  -1.096055   .4018012    -2.73   0.007    -1.889933   -.3021767
                           yearFE43 |  -.9729326   .4100192    -2.37   0.019    -1.783048   -.1628172
                           yearFE44 |  -.9733318   .4099038    -2.37   0.019    -1.783219   -.1634443
                           yearFE45 |  -.9384984   .4156498    -2.26   0.025    -1.759739   -.1172581
                           yearFE46 |  -.6155505     .39117    -1.57   0.118    -1.388424    .1573228
                           yearFE47 |  -.6619087   .3713065    -1.78   0.077    -1.395536    .0717182
                           yearFE48 |  -.5559869   .3491515    -1.59   0.113     -1.24584    .1338664
                           yearFE49 |  -.6601421   .3268973    -2.02   0.045    -1.306026   -.0142587
                           yearFE50 |  -.8174011   .3389586    -2.41   0.017    -1.487115   -.1476871
                           yearFE51 |  -1.035244   .3231268    -3.20   0.002    -1.673678   -.3968105
                           yearFE52 |  -1.073703   .3267739    -3.29   0.001    -1.719343   -.4280636
                           yearFE53 |  -.8871996   .3234397    -2.74   0.007    -1.526251   -.2481477
                           yearFE54 |  -1.343571   .3069463    -4.38   0.000    -1.950035   -.7371071
                           yearFE55 |  -1.239141   .3104566    -3.99   0.000    -1.852541   -.6257407
                           yearFE56 |  -1.005699   .2864675    -3.51   0.001    -1.571702   -.4396973
                           yearFE57 |  -1.087094   .3024442    -3.59   0.000    -1.684663    -.489525
                           yearFE58 |  -1.064583   .2690743    -3.96   0.000    -1.596219   -.5329459
                           yearFE59 |  -.8143505    .237432    -3.43   0.001    -1.283468   -.3452325
                           yearFE60 |  -.7820805   .2408618    -3.25   0.001    -1.257975    -.306186
                           yearFE61 |  -.8314947   .2187697    -3.80   0.000     -1.26374   -.3992496
                           yearFE62 |  -.5654013   .2079626    -2.72   0.007    -.9762936    -.154509
                           yearFE63 |  -.2402979   .2053948    -1.17   0.244    -.6461167    .1655208
                           yearFE64 |  -.0388971   .2219315    -0.18   0.861    -.4773892     .399595
                           yearFE65 |   .0954292   .2357815     0.40   0.686    -.3704276     .561286
                           yearFE66 |  -.0274102    .197549    -0.14   0.890    -.4177273    .3629069
                           yearFE67 |   -.313977   .2072552    -1.51   0.132    -.7234716    .0955177
                           yearFE68 |  -.3275924   .1884675    -1.74   0.084    -.6999664    .0447815
                           yearFE69 |   .2759135   .2090537     1.32   0.189    -.1371346    .6889616
                           yearFE70 |          0  (omitted)
                              _cons |   8.400834   9.152966     0.92   0.360    -9.683587    26.48525
------------------------------------+----------------------------------------------------------------
                            sigma_u |  1.9825063
                            sigma_e |  1.6293242
                                rho |  .59685866   (fraction of variance due to u_i)
-----------------------------------------------------------------------------------------------------

. margins, dydx(votedallwithUSA) at(past_unga = (0 (0.05) 1))

Average marginal effects                        Number of obs     =      4,926
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : votedallwithUSA

1._at        : past_ungaUSA    =           0

2._at        : past_ungaUSA    =         .05

3._at        : past_ungaUSA    =          .1

4._at        : past_ungaUSA    =         .15

5._at        : past_ungaUSA    =          .2

6._at        : past_ungaUSA    =         .25

7._at        : past_ungaUSA    =          .3

8._at        : past_ungaUSA    =         .35

9._at        : past_ungaUSA    =          .4

10._at       : past_ungaUSA    =         .45

11._at       : past_ungaUSA    =          .5

12._at       : past_ungaUSA    =         .55

13._at       : past_ungaUSA    =          .6

14._at       : past_ungaUSA    =         .65

15._at       : past_ungaUSA    =          .7

16._at       : past_ungaUSA    =         .75

17._at       : past_ungaUSA    =          .8

18._at       : past_ungaUSA    =         .85

19._at       : past_ungaUSA    =          .9

20._at       : past_ungaUSA    =         .95

21._at       : past_ungaUSA    =           1

---------------------------------------------------------------------------------
                |            Delta-method
                |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
votedallwithUSA |
            _at |
             1  |   .9608429   .3318889     2.90   0.004     .3103526    1.611333
             2  |   .8525837   .2738231     3.11   0.002     .3159003    1.389267
             3  |   .7443245   .2199465     3.38   0.001     .3132372    1.175412
             4  |   .6360652   .1741907     3.65   0.000     .2946577    .9774728
             5  |   .5278061   .1444884     3.65   0.000      .244614    .8109982
             6  |   .4195469   .1413504     2.97   0.003     .1425052    .6965886
             7  |   .3112876   .1662875     1.87   0.061    -.0146298    .6372051
             8  |   .2030285   .2095033     0.97   0.332    -.2075905    .6136474
             9  |   .0947693   .2621074     0.36   0.718    -.4189519    .6084904
            10  |  -.0134899   .3194957    -0.04   0.966      -.63969    .6127102
            11  |  -.1217491    .379504    -0.32   0.748    -.8655633     .622065
            12  |  -.2300083   .4410642    -0.52   0.602    -1.094478    .6344615
            13  |  -.3382676   .5036075    -0.67   0.502     -1.32532    .6487849
            14  |  -.4465267   .5668084    -0.79   0.431    -1.557451    .6643974
            15  |  -.5547859   .6304695    -0.88   0.379    -1.790483    .6809116
            16  |  -.6630451    .694464    -0.95   0.340     -2.02417    .6980793
            17  |  -.7713043   .7587077    -1.02   0.309    -2.258344    .7157354
            18  |  -.8795636   .8231421    -1.07   0.285    -2.492892    .7337653
            19  |  -.9878227   .8877257    -1.11   0.266    -2.727733    .7520878
            20  |  -1.096082   .9524283    -1.15   0.250    -2.962807    .7706432
            21  |  -1.204341   1.017227    -1.18   0.236    -3.198069    .7893873
---------------------------------------------------------------------------------

. marginsplot, level(95) title(" ", color(black) size(medium)) xtitle("Allied" "(political proximity to US in previous period)")
>  ytitle("Effect of UNSC, all with US") legend(off) graphregion(color(white)) bgcolor(white) ///
>         ylabel(,nogrid angle(0))  xscale(range(0 1)) xlabel(0 (0.2) 1) plotopts(msize(small) mcolor(black) lcolor(black)) ciop
> ts(lwidth(thin) lcolor(black)) yline(0, lcolor(maroon)) ///
>         addplot(hist past_unga if e(sample) , below color("252 205 85") fcolor(none)  yaxis(2) ylabel(0 (2) 6, axis(2) angle(0
> )) yscale(alt range(0 8) axis(2) ))  

  Variables that uniquely identify margins: past_ungaUSA

.         graph export "graphs/Figure3C.png", replace     
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/Figure3C.png written in PNG format)

. 
.         
. 
.         *Result reported in Notes to Figure 3: SUR       
.         
.         set matsize 11000
set matsize ignored.
    Matrix sizes are no longer limited by c(matsize) in modern Statas.  Matrix sizes are now limited by flavor of Stata.  See 
    limits for more details.

.         
.         *US aid vs. IMF:
.         sureg (lnODAnetdis_USA   votedallwithUSA  votednotallwithUSA unscall_pastunga unscnotallXpastunga past_unga           
>   l_lngdppcconst lnpop                            yearFE* i.countryid  if oda == 1 & p5 == 0 ) ///
>                         (IMFcommitments_lny  votedallwithUSA  votednotallwithUSA unscall_pastunga unscnotallXpastunga past_ung
> a    l_lngdppcconst lnpop pastIMF         yearFE* i.countryid  if oda == 1  & p5 == 0 ), isure
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Iteration 1:   tolerance =   .0575574
Iteration 2:   tolerance =  .00078639
Iteration 3:   tolerance =  .00001135
Iteration 4:   tolerance =  1.641e-07

Seemingly unrelated regression, iterated 
--------------------------------------------------------------------------
Equation             Obs   Parms        RMSE    "R-sq"       chi2        P
--------------------------------------------------------------------------
lnODAnetdi~A       6,531     240     1.13661    0.7128   16206.38   0.0000
IMFcommitm~y       6,531     241    1.608126    0.3120    2943.52   0.0000
--------------------------------------------------------------------------

-------------------------------------------------------------------------------------
                    |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
lnODAnetdis_USA     |
    votedallwithUSA |  -.1905168   .1506023    -1.27   0.206    -.4856918    .1046583
 votednotallwithUSA |  -.2300508   .1459171    -1.58   0.115    -.5160432    .0559415
   unscall_pastunga |   1.162015   .4151329     2.80   0.005     .3483694     1.97566
unscnotallXpastunga |   .8280082   .4586813     1.81   0.071    -.0709906    1.727007
       past_ungaUSA |   .6057338   .2478635     2.44   0.015     .1199303    1.091537
     l_lngdppcconst |   -.592772   .0596828    -9.93   0.000    -.7097482   -.4757958
              lnpop |    .410422   .1117028     3.67   0.000     .1914886    .6293554
            yearFE1 |          0  (omitted)
            yearFE2 |          0  (omitted)
            yearFE3 |          0  (omitted)
            yearFE4 |          0  (omitted)
            yearFE5 |          0  (omitted)
            yearFE6 |          0  (omitted)
            yearFE7 |          0  (omitted)
            yearFE8 |          0  (omitted)
            yearFE9 |          0  (omitted)
           yearFE10 |          0  (omitted)
           yearFE11 |          0  (omitted)
           yearFE12 |          0  (omitted)
           yearFE13 |          0  (omitted)
           yearFE14 |          0  (omitted)
           yearFE15 |          0  (omitted)
           yearFE16 |  -.0384449   .2552518    -0.15   0.880    -.5387293    .4618395
           yearFE17 |  -.0297018   .2321983    -0.13   0.898    -.4848021    .4253986
           yearFE18 |  -.0578359   .2309887    -0.25   0.802    -.5105654    .3948936
           yearFE19 |  -.2341978   .2284218    -1.03   0.305    -.6818963    .2135006
           yearFE20 |  -.0626224   .2251749    -0.28   0.781    -.5039572    .3787124
           yearFE21 |          0  (omitted)
           yearFE22 |          0  (omitted)
           yearFE23 |          0  (omitted)
           yearFE24 |          0  (omitted)
           yearFE25 |  -.6421532   .1991208    -3.22   0.001    -1.032423   -.2518836
           yearFE26 |  -.6183201   .1938524    -3.19   0.001    -.9982638   -.2383764
           yearFE27 |   -.671976   .1921669    -3.50   0.000    -1.048616   -.2953358
           yearFE28 |  -.8507876   .1907523    -4.46   0.000    -1.224655   -.4769199
           yearFE29 |  -.8339541   .1885786    -4.42   0.000    -1.203561   -.4643469
           yearFE30 |  -.7085887   .1844644    -3.84   0.000    -1.070132   -.3470451
           yearFE31 |  -.7141842    .180635    -3.95   0.000    -1.068222   -.3601462
           yearFE32 |  -.6870044   .1761376    -3.90   0.000    -1.032228   -.3417811
           yearFE33 |  -.6919387   .1717495    -4.03   0.000    -1.028562   -.3553158
           yearFE34 |  -.5921252   .1694818    -3.49   0.000    -.9243034    -.259947
           yearFE35 |  -.6278312   .1659136    -3.78   0.000    -.9530159   -.3026466
           yearFE36 |  -.6286929   .1619061    -3.88   0.000    -.9460231   -.3113627
           yearFE37 |  -.6243907   .1602292    -3.90   0.000    -.9384341   -.3103473
           yearFE38 |   -.513852   .1565373    -3.28   0.001    -.8206595   -.2070445
           yearFE39 |  -.4224738   .1541175    -2.74   0.006    -.7245386    -.120409
           yearFE40 |  -.3285483   .1519472    -2.16   0.031    -.6263593   -.0307372
           yearFE41 |  -.3409248    .149759    -2.28   0.023    -.6344472   -.0474025
           yearFE42 |  -.4123713    .147998    -2.79   0.005    -.7024421   -.1223006
           yearFE43 |  -.4419631   .1467364    -3.01   0.003    -.7295612    -.154365
           yearFE44 |  -.5300678   .1449096    -3.66   0.000    -.8140854   -.2460503
           yearFE45 |  -.4722349   .1440028    -3.28   0.001    -.7544753   -.1899945
           yearFE46 |  -.3853583   .1413037    -2.73   0.006    -.6623085   -.1084081
           yearFE47 |  -.5209436   .1402214    -3.72   0.000    -.7957726   -.2461147
           yearFE48 |  -.5464738   .1391765    -3.93   0.000    -.8192548   -.2736928
           yearFE49 |  -.6526323   .1379637    -4.73   0.000    -.9230363   -.3822284
           yearFE50 |   -.791057   .1367884    -5.78   0.000    -1.059157   -.5229566
           yearFE51 |  -1.001438   .1344592    -7.45   0.000    -1.264973   -.7379026
           yearFE52 |   -1.06692   .1322776    -8.07   0.000    -1.326179   -.8076609
           yearFE53 |  -1.084265   .1303756    -8.32   0.000    -1.339796   -.8287332
           yearFE54 |  -.8226985   .1303242    -6.31   0.000    -1.078129   -.5672677
           yearFE55 |  -.7880934   .1282741    -6.14   0.000    -1.039506   -.5366808
           yearFE56 |  -.6708678   .1281595    -5.23   0.000    -.9220558   -.4196798
           yearFE57 |  -.4202429   .1273797    -3.30   0.001    -.6699025   -.1705833
           yearFE58 |  -.3855705   .1267469    -3.04   0.002    -.6339898   -.1371511
           yearFE59 |  -.3787024   .1254261    -3.02   0.003     -.624533   -.1328718
           yearFE60 |  -.2431337   .1237614    -1.96   0.049    -.4857015   -.0005658
           yearFE61 |  -.1614553   .1232045    -1.31   0.190    -.4029318    .0800211
           yearFE62 |  -.1773596   .1216014    -1.46   0.145    -.4156939    .0609747
           yearFE63 |  -.0033658   .1211196    -0.03   0.978    -.2407557    .2340242
           yearFE64 |   .1033093   .1210895     0.85   0.394    -.1340217    .3406404
           yearFE65 |     .11376   .1213312     0.94   0.348    -.1240449    .3515648
           yearFE66 |   .1157425   .1209786     0.96   0.339    -.1213712    .3528561
           yearFE67 |    .093881   .1202388     0.78   0.435    -.1417826    .3295446
           yearFE68 |   .1156189   .1196296     0.97   0.334    -.1188508    .3500886
           yearFE69 |          0  (omitted)
           yearFE70 |          0  (omitted)
                    |
          countryid |
                 2  |  -2.426431   .4044157    -6.00   0.000    -3.219071   -1.633791
                 3  |  -3.049595   .4391205    -6.94   0.000    -3.910255   -2.188934
                 4  |  -2.395439   .7529316    -3.18   0.001    -3.871157   -.9197199
                 5  |  -3.277217   .4941991    -6.63   0.000    -4.245829   -2.308604
                 6  |  -4.742889   .4228641   -11.22   0.000    -5.571687    -3.91409
                 7  |  -1.160257   .4778748    -2.43   0.015    -2.096874   -.2236396
                 8  |  -2.728268   .7152773    -3.81   0.000    -4.130186    -1.32635
                 9  |  -4.651635   .4588471   -10.14   0.000    -5.550959   -3.752311
                10  |  -4.349188   .4468152    -9.73   0.000     -5.22493   -3.473447
                11  |  -2.287813   .4413252    -5.18   0.000    -3.152795   -1.422832
                12  |  -4.369699   .4037596   -10.82   0.000    -5.161053   -3.578344
                13  |   -4.56574   .4498546   -10.15   0.000    -5.447439   -3.684041
                14  |  -3.673579   .3940241    -9.32   0.000    -4.445852   -2.901306
                15  |  -3.521977   .3769067    -9.34   0.000      -4.2607   -2.783253
                16  |  -2.832073   .4252538    -6.66   0.000    -3.665555   -1.998591
                17  |  -5.433038   .4129138   -13.16   0.000    -6.242335   -4.623742
                18  |  -3.434983   .5439933    -6.31   0.000     -4.50119   -2.368776
                19  |   -3.01792   .6008272    -5.02   0.000     -4.19552   -1.840321
                20  |  -1.336408   .4977235    -2.69   0.007    -2.311928   -.3608878
                21  |  -4.582708   .4249176   -10.78   0.000    -5.415532   -3.749885
                22  |  -2.550593   .6224085    -4.10   0.000    -3.770491   -1.330694
                23  |  -1.226696   .3868398    -3.17   0.002    -1.984888   -.4685044
                24  |  -4.161151   .4950869    -8.40   0.000    -5.131503   -3.190798
                25  |  -2.959867   .6068231    -4.88   0.000    -4.149218   -1.770515
                26  |  -2.808817   .6121502    -4.59   0.000    -4.008609   -1.609025
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--------------------+----------------------------------------------------------------
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           yearFE52 |   .3229042   .1872229     1.72   0.085     -.044046    .6898544
           yearFE53 |   .3378212   .1845626     1.83   0.067    -.0239149    .6995573
           yearFE54 |   .3642598   .1845266     1.97   0.048     .0025943    .7259253
           yearFE55 |   .2191065   .1815844     1.21   0.228    -.1367923    .5750054
           yearFE56 |   .2437197   .1814084     1.34   0.179    -.1118342    .5992737
           yearFE57 |   .0796292   .1802969     0.44   0.659    -.2737462    .4330045
           yearFE58 |   .2208654   .1793726     1.23   0.218    -.1306984    .5724293
           yearFE59 |   .0503793   .1774787     0.28   0.777    -.2974726    .3982311
           yearFE60 |  -.1850938   .1751125    -1.06   0.291    -.5283081    .1581205
           yearFE61 |  -.2952099   .1743158    -1.69   0.090    -.6368626    .0464427
           yearFE62 |  -.4321156   .1720482    -2.51   0.012    -.7693239   -.0949074
           yearFE63 |  -.1371406   .1713764    -0.80   0.424    -.4730322    .1987509
           yearFE64 |   .2903053   .1713716     1.69   0.090     -.045577    .6261876
           yearFE65 |   .2707117   .1717614     1.58   0.115    -.0659344    .6073578
           yearFE66 |   .1960352   .1712594     1.14   0.252    -.1396271    .5316974
           yearFE67 |      .0435   .1701716     0.26   0.798    -.2900302    .3770301
           yearFE68 |  -.0896866   .1692652    -0.53   0.596    -.4214403     .242067
           yearFE69 |          0  (omitted)
           yearFE70 |          0  (omitted)
                    |
          countryid |
                 2  |   .5829611    .574312     1.02   0.310    -.5426697    1.708592
                 3  |   .2509713   .6216745     0.40   0.686    -.9674883    1.469431
                 4  |   1.419917    1.06611     1.33   0.183    -.6696209    3.509454
                 5  |   2.022075   .6992387     2.89   0.004     .6515923    3.392558
                 6  |   3.026155    .598719     5.05   0.000     1.852687    4.199622
                 7  |    .905755   .6781115     1.34   0.182    -.4233191    2.234829
                 8  |   .7921048   1.013965     0.78   0.435     -1.19523    2.779439
                 9  |   .4259077   .6500593     0.66   0.512    -.8481851    1.700001
                10  |   1.810242   .6335138     2.86   0.004     .5685781    3.051907
                11  |   .2174665   .6254328     0.35   0.728    -1.008359    1.443292
                12  |  -1.178242   .5725007    -2.06   0.040    -2.300323   -.0561617
                13  |   .2818217   .6376747     0.44   0.659    -.9679977    1.531641
                14  |  -.1046266   .5574846    -0.19   0.851    -1.197276    .9880232
                15  |  -.1379387   .5335741    -0.26   0.796    -1.183725    .9078473
                16  |    .584078   .6022211     0.97   0.332    -.5962537     1.76441
                17  |    1.35742   .5842746     2.32   0.020     .2122624    2.502577
                18  |   1.171425   .7697479     1.52   0.128    -.3372529    2.680104
                19  |   1.173268   .8505286     1.38   0.168    -.4937377    2.840273
                20  |   1.779497   .7047045     2.53   0.012      .398302    3.160693
                21  |  -.2920521   .6015539    -0.49   0.627    -1.471076     .886972
                22  |  -1.446514    .887432    -1.63   0.103    -3.185848    .2928211
                23  |   .2937294   .5489755     0.54   0.593    -.7822429    1.369702
                24  |   2.259082   .7004994     3.22   0.001     .8861282    3.632035
                25  |  -.3473913   .8666119    -0.40   0.689     -2.04592    1.351137
                26  |   1.445831   .8665284     1.67   0.095    -.2525333    3.144196
                27  |  -.5020589   .7791824    -0.64   0.519    -2.029228     1.02511
                28  |    .351746   .6638908     0.53   0.596     -.949456    1.652948
                29  |  -.5261369   .6106965    -0.86   0.389     -1.72308    .6708062
                30  |   2.012563   .6720421     2.99   0.003     .6953844    3.329741
                31  |   2.227532    .841241     2.65   0.008     .5787305    3.876334
                32  |   .6851086   .5720794     1.20   0.231    -.4361464    1.806364
                33  |   -1.01059   .8700038    -1.16   0.245    -2.715766    .6945862
                34  |   1.600774   .5349158     2.99   0.003     .5523586     2.64919
                35  |   .3416023    .530879     0.64   0.520    -.6989015    1.382106
                36  |   .3926769   .5316435     0.74   0.460    -.6493253    1.434679
                37  |  -.3272891    .611486    -0.54   0.592     -1.52578    .8712013
                38  |   1.161939   .5756423     2.02   0.044     .0337009    2.290177
                39  |  -1.441591   .7997613    -1.80   0.071    -3.009095    .1259119
                40  |  -.9169267   .8166071    -1.12   0.262    -2.517447    .6835938
                41  |   .3231001   .6079534     0.53   0.595    -.8684666    1.514667
                43  |  -.9198749   .5617192    -1.64   0.102    -2.020824    .1810744
                44  |   .2275011   .7423907     0.31   0.759    -1.227558     1.68256
                45  |  -.1731574   .6794085    -0.25   0.799    -1.504774    1.158459
                47  |    1.92201   .7393333     2.60   0.009     .4729438    3.371077
                48  |  -.8384826   .7819984    -1.07   0.284    -2.371171    .6942062
                49  |  -.8607065   1.043367    -0.82   0.409    -2.905667    1.184254
                50  |   1.974857   .6534471     3.02   0.003      .694124     3.25559
                51  |   .4730096   .5626637     0.84   0.401     -.629791     1.57581
                52  |   .5802655    .564817     1.03   0.304    -.5267555    1.687286
                53  |   .4290078    .554785     0.77   0.439    -.6583508    1.516366
                54  |   .1391185   .5681284     0.24   0.807    -.9743927     1.25263
                55  |  -.6554967   .7005305    -0.94   0.349    -2.028511    .7175179
                56  |   .2991664    .654748     0.46   0.648    -.9841161    1.582449
                57  |    -.05674    .755084    -0.08   0.940    -1.536677    1.423197
                58  |  -1.355243   .5625363    -2.41   0.016    -2.457794   -.2526922
                59  |   .3109257   .6385055     0.49   0.626    -.9405221    1.562373
                60  |  -1.337309   .7343764    -1.82   0.069     -2.77666    .1020427
                61  |   1.901601   .7295756     2.61   0.009     .4716589    3.331543
                62  |  -.0479166    1.05517    -0.05   0.964    -2.116012    2.020179
                63  |   1.174428   .7024677     1.67   0.095    -.2023837    2.551239
                64  |   1.857238   .7338137     2.53   0.011     .4189891    3.295486
                65  |   1.281111   .6707663     1.91   0.056    -.0335668    2.595789
                66  |   .6207157   .5262546     1.18   0.238    -.4107244    1.652156
                67  |   .1039495   .5797085     0.18   0.858    -1.032258    1.240157
                68  |  -.9837416   .7117119    -1.38   0.167    -2.378671    .4111882
                69  |  -1.256662   .7243472    -1.73   0.083    -2.676357    .1630322
                70  |  -1.042618    .790113    -1.32   0.187    -2.591211    .5059748
                71  |   2.326269   .6115209     3.80   0.000      1.12771    3.524828
                72  |  -.6321051   .9800806    -0.64   0.519    -2.553028    1.288818
                73  |  -.3899223   .5461431    -0.71   0.475    -1.460343    .6804986
                74  |  -.0577397   .7267456    -0.08   0.937    -1.482135    1.366655
                75  |  -.0239575   .5644581    -0.04   0.966    -1.130275     1.08236
                76  |   1.285315   .6860013     1.87   0.061    -.0592234    2.629852
                77  |  -.3023372   .6200166    -0.49   0.626    -1.517548    .9128731
                78  |   1.202559   .6362557     1.89   0.059    -.0444791    2.449597
                79  |   .2659787   .6589692     0.40   0.686    -1.025577    1.557535
                80  |  -.5593131   .8022263    -0.70   0.486    -2.131648    1.013022
                81  |   2.058135   .6470618     3.18   0.001      .789917    3.326353
                82  |  -.5303298   .6012402    -0.88   0.378    -1.708739    .6480793
                83  |   .8576697   .5709061     1.50   0.133    -.2612858    1.976625
                84  |   .2950874   .8507019     0.35   0.729    -1.372258    1.962433
                85  |   .4365975   .6352044     0.69   0.492    -.8083803    1.681575
                86  |   .9338276   .6946626     1.34   0.179    -.4276862    2.295341
                87  |   1.256034   .6251159     2.01   0.045     .0308296    2.481239
                88  |   1.217775   .5926548     2.05   0.040     .0561924    2.379357
                89  |   .7312937   .7547996     0.97   0.333    -.7480862    2.210674
                90  |   .6059885    .638004     0.95   0.342    -.6444764    1.856453
                91  |   1.263974   .5308187     2.38   0.017     .2235884    2.304359
                92  |   .3973668   .7025921     0.57   0.572    -.9796884    1.774422
                93  |  -1.894403    .664821    -2.85   0.004    -3.197428   -.5913779
                94  |  -.2945678   1.104798    -0.27   0.790    -2.459932    1.870796
                95  |    .712927   1.091167     0.65   0.514    -1.425721    2.851575
                96  |   1.287236   .6937623     1.86   0.064    -.0725134    2.646985
                97  |   1.708019   .7384857     2.31   0.021     .2606134    3.155424
                98  |  -1.217594   .5987689    -2.03   0.042     -2.39116   -.0440286
                99  |   .6908732   .6463822     1.07   0.285    -.5760126    1.957759
               100  |   .0264818   .6347526     0.04   0.967     -1.21761    1.270574
               101  |   1.052814   .7072183     1.49   0.137    -.3333081    2.438937
               102  |   .3826916   .9303026     0.41   0.681    -1.440668    2.206051
               103  |   1.906995   1.955201     0.98   0.329    -1.925128    5.739118
               104  |   .6636961   .5305442     1.25   0.211    -.3761514    1.703544
               105  |  -.6630546   .6537231    -1.01   0.310    -1.944328    .6182192
               106  |   .1481545   .6898904     0.21   0.830    -1.204006    1.500315
               107  |   1.919059   .8137822     2.36   0.018     .3240749    3.514042
               108  |   1.091495   .7141082     1.53   0.126    -.3081313    2.491121
               109  |   .5638901    .544075     1.04   0.300    -.5024773    1.630257
               110  |   1.921015   1.953055     0.98   0.325    -1.906903    5.748933
               111  |  -.1443307   .6723083    -0.21   0.830    -1.462031    1.173369
               112  |   .0405243   .5250619     0.08   0.938    -.9885782    1.069627
               113  |   .6125709   .9164384     0.67   0.504    -1.183615    2.408757
               114  |   2.610098   .6503722     4.01   0.000     1.335392    3.884804
               115  |  -.1497134   1.117924    -0.13   0.893    -2.340804    2.041377
               116  |   .7083451   .7219244     0.98   0.326    -.7066006    2.123291
               117  |  -.1540396   .5376994    -0.29   0.775    -1.207911    .8998317
               118  |   .9600053   .8040692     1.19   0.233    -.6159415    2.535952
               119  |  -1.702836   .5281142    -3.22   0.001    -2.737921   -.6677515
               120  |  -.1926025   .6425927    -0.30   0.764    -1.452061    1.066856
               121  |   -.334446   .5453815    -0.61   0.540    -1.403374    .7344822
               122  |   .1429897   .6301695     0.23   0.820     -1.09212    1.378099
               123  |  -.5492218   .7009602    -0.78   0.433    -1.923079    .8246349
               124  |   .2868551    .539605     0.53   0.595    -.7707512    1.344461
               125  |   .8130474   .5636278     1.44   0.149    -.2916428    1.917738
               126  |   .4342679   .7038196     0.62   0.537    -.9451931    1.813729
               127  |  -.1570982    .545106    -0.29   0.773    -1.225486      .91129
               128  |   .0005564   .6099433     0.00   0.999     -1.19491    1.196023
               129  |   .0002249   .5760722     0.00   1.000    -1.128856    1.129306
               130  |   .4029109   .6478971     0.62   0.534     -.866944    1.672766
               131  |   2.124488   .6688692     3.18   0.001     .8135284    3.435447
               132  |  -1.106265   .5184284    -2.13   0.033    -2.122366   -.0901639
               134  |  -.0334283   .6604196    -0.05   0.960    -1.327827     1.26097
               135  |   1.172756   .6681791     1.76   0.079    -.1368509    2.482363
               136  |   1.631799   .5914699     2.76   0.006     .4725398    2.791059
               137  |   .7718696   .6192727     1.25   0.213    -.4418825    1.985622
               138  |   1.628442   .5568217     2.92   0.003     .5370916    2.719793
               139  |   1.412568   .5752651     2.46   0.014      .285069    2.540067
               140  |   .5659259   1.298382     0.44   0.663    -1.978856    3.110708
               141  |  -.8269876   .5831887    -1.42   0.156    -1.970016    .3160411
               142  |   2.788909   .6411808     4.35   0.000     1.532218      4.0456
               144  |   1.141093   .6005624     1.90   0.057    -.0359874    2.318174
               145  |  -.9109416   .5774796    -1.58   0.115    -2.042781    .2208977
               146  |   1.962089   .8236032     2.38   0.017     .3478559    3.576321
               147  |   3.744008   .6134553     6.10   0.000     2.541657    4.946358
               148  |   1.746648   .7224305     2.42   0.016     .3307104    3.162586
               149  |  -1.630844   .5532837    -2.95   0.003     -2.71526   -.5464278
               150  |   1.671084   .6240676     2.68   0.007     .4479343    2.894234
               151  |  -.6174485   .5261762    -1.17   0.241    -1.648735    .4138379
               152  |   .5437313   .5403703     1.01   0.314     -.515375    1.602838
               153  |   1.510462   .6407955     2.36   0.018     .2545254    2.766398
               154  |  -1.726929   .8419433    -2.05   0.040    -3.377108   -.0767505
               155  |  -.4176434     .57954    -0.72   0.471    -1.553521    .7182342
               156  |  -.0169871   .5733905    -0.03   0.976    -1.140812    1.106838
               159  |  -1.657476   1.079353    -1.54   0.125     -3.77297    .4580183
               160  |   .5321581   .7962044     0.67   0.504    -1.028374     2.09269
               161  |  -.4136051   .6868211    -0.60   0.547     -1.75975    .9325394
               162  |   1.294413    .739145     1.75   0.080    -.1542842    2.743111
               163  |   1.932313   .6401282     3.02   0.003     .6776845    3.186941
               164  |   .1213498    .711236     0.17   0.865    -1.272647    1.515347
               165  |   .6230832   1.024786     0.61   0.543     -1.38546    2.631627
               167  |  -.2556797    .551187    -0.46   0.643    -1.335986    .8246269
               168  |  -.4333297   .5793035    -0.75   0.454    -1.568744    .7020842
               169  |   .2169141   .5768321     0.38   0.707    -.9136561    1.347484
               170  |  -.3224369   .6659933    -0.48   0.628     -1.62776     .982886
               171  |   .3320993    .657062     0.51   0.613    -.9557187    1.619917
               172  |  -.5138346   .8884159    -0.58   0.563    -2.255098    1.227429
               173  |   .1534627   1.077957     0.14   0.887    -1.959295    2.266221
               174  |   .2655577   .6875592     0.39   0.699    -1.082034    1.613149
               175  |  -.3260185   .5554625    -0.59   0.557    -1.414705    .7626681
               176  |    2.20956   .6178833     3.58   0.000      .998531    3.420589
               177  |  -.1335935   1.399549    -0.10   0.924    -2.876658    2.609471
               179  |   .4791296   .5666763     0.85   0.398    -.6315355    1.589795
               180  |  -.3019426   .5453797    -0.55   0.580    -1.370867    .7669819
               181  |   3.101702   .6089851     5.09   0.000     1.908113    4.295291
               182  |   1.638773   .6129435     2.67   0.008     .4374262    2.840121
               183  |   2.581498   .9880315     2.61   0.009     .6449921    4.518005
               184  |   -1.63016   .6620502    -2.46   0.014    -2.927755   -.3325659
               185  |   .1842239   .9796561     0.19   0.851    -1.735867    2.104315
               186  |   .6031136   .6037816     1.00   0.318    -.5802766    1.786504
               187  |  -.2796106   .5891111    -0.47   0.635    -1.434247    .8750259
               188  |   -.061486     .92344    -0.07   0.947    -1.871395    1.748423
               189  |  -1.558291   .9228919    -1.69   0.091    -3.367126    .2505441
               190  |   .2284732   .5752154     0.40   0.691    -.8989282    1.355875
               192  |   .0023556    .627146     0.00   0.997    -1.226828    1.231539
               194  |   .8407263   .5447592     1.54   0.123    -.2269821    1.908435
               195  |  -.9793196   .5624185    -1.74   0.082     -2.08164    .1230005
                    |
              _cons |   5.533157   2.988689     1.85   0.064    -.3245659    11.39088
-------------------------------------------------------------------------------------

.                  
.                 test [lnODAnetdis_USA]_b[unscall_pastunga] = [IMFcommitments_lny]_b[unscall_pastunga]

 ( 1)  [lnODAnetdis_USA]unscall_pastunga - [IMFcommitments_lny]unscall_pastunga = 0

           chi2(  1) =   10.80
         Prob > chi2 =    0.0010

.                 di `r(p)' / 2 // This reports the p-value of a one-sided test: 0.0005
.00050733

.         
.         *US aid vs. WB:
.         sureg (lnODAnetdis_USA   votedallwithUSA  votednotallwithUSA unscall_pastunga unscnotallXpastunga past_unga           
>   l_lngdppcconst lnpop                            yearFE* i.countryid  if oda == 1 & p5 == 0 ) ///
>                         (lnWBlend       votedallwithUSA  votednotallwithUSA unscall_pastunga unscnotallXpastunga past_unga    
> l_lngdppcconst lnpop  yearFE* i.countryid  if oda == 1  & p5 == 0 ), isure
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE70 omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Iteration 1:   tolerance =  3.226e-11

Seemingly unrelated regression, iterated 
--------------------------------------------------------------------------
Equation             Obs   Parms        RMSE    "R-sq"       chi2        P
--------------------------------------------------------------------------
lnODAnetdi~A       6,455     237    1.095521    0.7269   17184.31   0.0000
lnWBlend           6,455     237    1.488804    0.6360   11279.00   0.0000
--------------------------------------------------------------------------

-------------------------------------------------------------------------------------
                    |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
lnODAnetdis_USA     |
    votedallwithUSA |   .1209365    .148121     0.82   0.414    -.1693754    .4112484
 votednotallwithUSA |  -.1018322   .1385078    -0.74   0.462    -.3733025    .1696381
   unscall_pastunga |  -.2269966   .4517375    -0.50   0.615    -1.112386    .6583927
unscnotallXpastunga |   .2705405   .4324467     0.63   0.532    -.5770395     1.11812
       past_ungaUSA |   .2403244   .2670392     0.90   0.368    -.2830629    .7637117
     l_lngdppcconst |  -.4881757   .0580722    -8.41   0.000    -.6019952   -.3743562
              lnpop |   .7180385   .1101865     6.52   0.000      .502077        .934
            yearFE1 |          0  (omitted)
            yearFE2 |          0  (omitted)
            yearFE3 |          0  (omitted)
            yearFE4 |          0  (omitted)
            yearFE5 |          0  (omitted)
            yearFE6 |          0  (omitted)
            yearFE7 |          0  (omitted)
            yearFE8 |          0  (omitted)
            yearFE9 |          0  (omitted)
           yearFE10 |          0  (omitted)
           yearFE11 |          0  (omitted)
           yearFE12 |          0  (omitted)
           yearFE13 |          0  (omitted)
           yearFE14 |          0  (omitted)
           yearFE15 |          0  (omitted)
           yearFE16 |          0  (omitted)
           yearFE17 |          0  (omitted)
           yearFE18 |          0  (omitted)
           yearFE19 |          0  (omitted)
           yearFE20 |          0  (omitted)
           yearFE21 |          0  (omitted)
           yearFE22 |          0  (omitted)
           yearFE23 |          0  (omitted)
           yearFE24 |          0  (omitted)
           yearFE25 |  -.2018058   .1920345    -1.05   0.293    -.5781865    .1745749
           yearFE26 |  -.1703236   .1874309    -0.91   0.363    -.5376813    .1970342
           yearFE27 |  -.2542399     .18572    -1.37   0.171    -.6182444    .1097647
           yearFE28 |  -.4375635   .1843671    -2.37   0.018    -.7989164   -.0762107
           yearFE29 |  -.4212173   .1821352    -2.31   0.021    -.7781958   -.0642388
           yearFE30 |  -.3299988   .1782155    -1.85   0.064    -.6792948    .0192971
           yearFE31 |  -.3660511   .1742208    -2.10   0.036    -.7075176   -.0245846
           yearFE32 |   -.355171   .1696157    -2.09   0.036    -.6876117   -.0227303
           yearFE33 |  -.3838298   .1649746    -2.33   0.020     -.707174   -.0604856
           yearFE34 |  -.2887765   .1628421    -1.77   0.076    -.6079412    .0303882
           yearFE35 |  -.2956101   .1615399    -1.83   0.067    -.6122226    .0210023
           yearFE36 |  -.3113424   .1576074    -1.98   0.048    -.6202473   -.0024374
           yearFE37 |   -.318288   .1559365    -2.04   0.041    -.6239179   -.0126581
           yearFE38 |  -.2319901   .1522581    -1.52   0.128    -.5304106    .0664303
           yearFE39 |  -.1705922   .1499926    -1.14   0.255    -.4645724    .1233879
           yearFE40 |  -.0939483   .1480636    -0.63   0.526    -.3841476     .196251
           yearFE41 |   -.129598   .1461647    -0.89   0.375    -.4160755    .1568796
           yearFE42 |   -.202624   .1445479    -1.40   0.161    -.4859326    .0806847
           yearFE43 |  -.2586901   .1428152    -1.81   0.070    -.5386028    .0212226
           yearFE44 |  -.3593703   .1411148    -2.55   0.011    -.6359503   -.0827902
           yearFE45 |  -.3084392   .1399071    -2.20   0.027    -.5826522   -.0342262
           yearFE46 |  -.2296384   .1379606    -1.66   0.096    -.5000361    .0407593
           yearFE47 |  -.3761964   .1371779    -2.74   0.006    -.6450601   -.1073327
           yearFE48 |  -.4026437   .1360095    -2.96   0.003    -.6692175   -.1360699
           yearFE49 |  -.5060353   .1345813    -3.76   0.000    -.7698098   -.2422608
           yearFE50 |  -.6392913   .1331505    -4.80   0.000    -.9002615   -.3783211
           yearFE51 |  -.8407529   .1306437    -6.44   0.000     -1.09681    -.584696
           yearFE52 |  -.9042315   .1284323    -7.04   0.000    -1.155954   -.6525088
           yearFE53 |  -.9095891   .1265775    -7.19   0.000    -1.157676   -.6615018
           yearFE54 |  -.6544721   .1265052    -5.17   0.000    -.9024178   -.4065264
           yearFE55 |  -.6352203   .1244659    -5.10   0.000     -.879169   -.3912716
           yearFE56 |  -.5299412   .1243156    -4.26   0.000    -.7735953   -.2862872
           yearFE57 |   -.292086   .1235295    -2.36   0.018    -.5341993   -.0499726
           yearFE58 |  -.2695045   .1229318    -2.19   0.028    -.5104463   -.0285627
           yearFE59 |  -.2790367   .1216909    -2.29   0.022    -.5175465   -.0405269
           yearFE60 |  -.1579769   .1201029    -1.32   0.188    -.3933742    .0774204
           yearFE61 |   -.093734   .1197059    -0.78   0.434    -.3283533    .1408853
           yearFE62 |  -.1250099    .118231    -1.06   0.290    -.3567384    .1067186
           yearFE63 |    .033723   .1176881     0.29   0.774    -.1969415    .2643875
           yearFE64 |   .1251188   .1178054     1.06   0.288    -.1057755    .3560132
           yearFE65 |   .1287286   .1181016     1.09   0.276    -.1027463    .3602035
           yearFE66 |   .1285842   .1175675     1.09   0.274    -.1018438    .3590123
           yearFE67 |   .1054074   .1165106     0.90   0.366    -.1229491     .333764
           yearFE68 |   .1381994   .1155157     1.20   0.232    -.0882072     .364606
           yearFE69 |    .030616   .1152193     0.27   0.790    -.1952098    .2564417
           yearFE70 |          0  (omitted)
                    |
          countryid |
                 2  |  -2.504073    .378476    -6.62   0.000    -3.245872   -1.762273
                 3  |  -2.554581   .4175377    -6.12   0.000     -3.37294   -1.736222
                 4  |  -.9817381   .7386795    -1.33   0.184    -2.429523    .4660472
                 5  |  -3.189218   .4740616    -6.73   0.000    -4.118362   -2.260074
                 6  |  -5.454261   .3990581   -13.67   0.000      -6.2364   -4.672121
                 7  |  -.6780732   .4534307    -1.50   0.135    -1.566781    .2106347
                 8  |  -1.331083   .7011999    -1.90   0.058    -2.705409    .0432436
                 9  |  -4.877971   .4374156   -11.15   0.000     -5.73529   -4.020652
                10  |  -4.339371   .4284304   -10.13   0.000    -5.179079   -3.499662
                11  |  -2.171153   .4145449    -5.24   0.000    -2.983646    -1.35866
                12  |  -3.926589    .379776   -10.34   0.000    -4.670937   -3.182242
                13  |  -4.564438   .4307685   -10.60   0.000    -5.408728   -3.720147
                14  |  -3.235005   .3729515    -8.67   0.000    -3.965977   -2.504034
                15  |   -3.11452   .3551505    -8.77   0.000    -3.810603   -2.418438
                16  |   -3.34686   .4004723    -8.36   0.000    -4.131772   -2.561949
                17  |  -5.309181    .389201   -13.64   0.000    -6.072001   -4.546361
                18  |  -2.775198   .5272861    -5.26   0.000     -3.80866   -1.741736
                19  |  -2.093865   .5866673    -3.57   0.000    -3.243712   -.9440181
                20  |  -.8794817    .469794    -1.87   0.061    -1.800261    .0412976
                21  |  -4.449134   .3996619   -11.13   0.000    -5.232457   -3.665812
                22  |   -1.37795   .6048978    -2.28   0.023    -2.563528   -.1923718
                23  |  -1.091147   .3665236    -2.98   0.003     -1.80952   -.3727734
                24  |  -5.489951   .4724089   -11.62   0.000    -6.415855   -4.564046
                25  |   -1.97058   .5926644    -3.32   0.001    -3.132181   -.8089794
                26  |  -1.965192   .5971922    -3.29   0.001    -3.135667   -.7947163
                27  |  -3.955584   .5314462    -7.44   0.000      -4.9972   -2.913969
                28  |   -1.01071   .4500959    -2.25   0.025    -1.892881   -.1285377
                29  |  -3.945209    .413066    -9.55   0.000    -4.754804   -3.135615
                30  |  -5.234105   .4500588   -11.63   0.000    -6.116204   -4.352006
                31  |  -4.277082   .5537824    -7.72   0.000    -5.362475   -3.191688
                32  |  -4.594377    .382533   -12.01   0.000    -5.344128   -3.844626
                33  |  -8.007912   .5855819   -13.68   0.000    -9.155631   -6.860192
                34  |  -3.486311   .3555896    -9.80   0.000    -4.183254   -2.789368
                35  |  -3.230565   .3531502    -9.15   0.000    -3.922726   -2.538403
                36  |  -3.447033    .353075    -9.76   0.000    -4.139047   -2.755019
                37  |  -3.516362   .4105939    -8.56   0.000    -4.321111   -2.711613
                38  |  -2.825483   .3846743    -7.35   0.000     -3.57943   -2.071535
                39  |  -3.794283   .5441158    -6.97   0.000     -4.86073   -2.727835
                40  |  -1.297332   .5579377    -2.33   0.020     -2.39087   -.2037941
                41  |  -2.170736   .4090691    -5.31   0.000    -2.972496   -1.368975
                43  |  -4.663599   .3721095   -12.53   0.000     -5.39292   -3.934278
                44  |   -1.37466   .5043849    -2.73   0.006    -2.363237   -.3860843
                45  |  -4.951708   .4520555   -10.95   0.000     -5.83772   -4.065696
                47  |  -6.024105   .4897393   -12.30   0.000    -6.983977   -5.064234
                48  |  -2.547333   .5301337    -4.81   0.000    -3.586376    -1.50829
                49  |  -1.756516   .7160515    -2.45   0.014    -3.159951   -.3530805
                50  |  -3.910727   .4436615    -8.81   0.000    -4.780287   -3.041166
                51  |  -2.032776   .3773094    -5.39   0.000    -2.772289   -1.293264
                52  |  -5.619315   .3736072   -15.04   0.000    -6.351571   -4.887058
                53  |  -2.170394   .3703019    -5.86   0.000    -2.896173   -1.444616
                54  |  -1.529923    .380281    -4.02   0.000     -2.27526   -.7845864
                55  |  -2.959189   .4704453    -6.29   0.000    -3.881244   -2.037133
                56  |  -5.703386   .4393879   -12.98   0.000     -6.56457   -4.842201
                57  |  -3.576263   .5097725    -7.02   0.000    -4.575398   -2.577127
                58  |  -3.030098   .3722419    -8.14   0.000    -3.759678   -2.300517
                59  |  -4.029094   .4325731    -9.31   0.000    -4.876921   -3.181266
                60  |  -2.707014   .4975834    -5.44   0.000     -3.68226   -1.731769
                61  |  -5.862866   .4804956   -12.20   0.000     -6.80462   -4.921112
                62  |   1.968392   .7234945     2.72   0.007     .5503693    3.386416
                63  |  -2.408669    .478328    -5.04   0.000    -3.346175   -1.471164
                64  |  -5.928663   .4891351   -12.12   0.000     -6.88735   -4.969976
                65  |  -.4406161   .4471124    -0.99   0.324     -1.31694    .4357082
                66  |  -2.479817   .3497655    -7.09   0.000    -3.165345   -1.794289
                67  |  -3.104841   .3837264    -8.09   0.000    -3.856931   -2.352751
                68  |  -2.891868   .4805806    -6.02   0.000    -3.833789   -1.949947
                69  |  -3.224982   .4890095    -6.59   0.000    -4.183423   -2.266541
                70  |  -3.149757     .53445    -5.89   0.000    -4.197259   -2.102254
                71  |  -4.751686    .411838   -11.54   0.000    -5.558873   -3.944498
                72  |  -1.585476    .671938    -2.36   0.018     -2.90245   -.2685015
                73  |  -1.430478   .3640618    -3.93   0.000    -2.144026   -.7169299
                74  |  -1.334366    .492413    -2.71   0.007    -2.299478   -.3692548
                75  |  -.9030895   .3768388    -2.40   0.017     -1.64168   -.1644991
                76  |  -2.448156   .4585867    -5.34   0.000    -3.346969   -1.549343
                77  |  -.9362319   .4096757    -2.29   0.022    -1.739181   -.1332823
                78  |  -5.047717   .4236387   -11.92   0.000    -5.878033     -4.2174
                79  |  -3.518083   .4449411    -7.91   0.000    -4.390151   -2.646014
                80  |  -5.405084   .5462797    -9.89   0.000    -6.475773   -4.334396
                81  |  -3.908442   .4366147    -8.95   0.000    -4.764191   -3.052692
                82  |  -6.297768    .402852   -15.63   0.000    -7.087343   -5.508192
                83  |  -4.103581   .3767926   -10.89   0.000    -4.842081   -3.365081
                84  |  -1.941825   .5855063    -3.32   0.001    -3.089397   -.7942542
                85  |  -.0628003   .4337102    -0.14   0.885    -.9128566     .787256
                86  |  -5.860089   .4661864   -12.57   0.000    -6.773798   -4.946381
                87  |  -1.649687   .4191582    -3.94   0.000    -2.471222   -.8281521
                88  |   .1901082   .3960637     0.48   0.631    -.5861623    .9663787
                89  |  -6.314267   .5084641   -12.42   0.000    -7.310838   -5.317696
                90  |  -1.566595   .4223562    -3.71   0.000    -2.394398    -.738792
                91  |  -2.229531   .3497603    -6.37   0.000    -2.915048   -1.544013
                92  |  -2.049434   .4637514    -4.42   0.000     -2.95837   -1.140498
                93  |  -2.441963   .4359685    -5.60   0.000    -3.296445    -1.58748
                94  |  -2.805448   .7519746    -3.73   0.000    -4.279291   -1.331605
                95  |  -.8979692   .7554716    -1.19   0.235    -2.378666    .5827279
                96  |  -5.958355   .4610092   -12.92   0.000    -6.861917   -5.054794
                97  |  -3.390278   .4990064    -6.79   0.000    -4.368312   -2.412243
                98  |  -4.424571   .3982902   -11.11   0.000    -5.205206   -3.643937
                99  |   -.830876   .4336367    -1.92   0.055    -1.680788    .0190362
               100  |  -.9863063   .4299617    -2.29   0.022    -1.829016    -.143597
               101  |  -3.131079   .4765794    -6.57   0.000    -4.065157   -2.197001
               102  |  -2.253717   .6420395    -3.51   0.000    -3.512091   -.9953423
               103  |   -.156201   1.342009    -0.12   0.907    -2.786491    2.474089
               104  |  -3.022952   .3529902    -8.56   0.000      -3.7148   -2.331104
               105  |   -2.17279   .4408415    -4.93   0.000    -3.036824   -1.308757
               106  |  -4.354096   .4628445    -9.41   0.000    -5.261255   -3.446938
               107  |  -1.922701   .5652062    -3.40   0.001    -3.030485   -.8149172
               108  |  -4.083136   .4802833    -8.50   0.000    -5.024474   -3.141797
               109  |  -3.397755   .3588679    -9.47   0.000    -4.101124   -2.694387
               110  |  -.1791134   1.340361    -0.13   0.894    -2.806172    2.447945
               111  |  -1.729822    .448477    -3.86   0.000     -2.60882   -.8508228
               112  |   -3.49245   .3489032   -10.01   0.000    -4.176288   -2.808613
               113  |  -2.966915   .6234032    -4.76   0.000    -4.188762   -1.745067
               114  |  -3.403943   .4371886    -7.79   0.000    -4.260817   -2.547069
               115  |   2.031785   .7698311     2.64   0.008     .5229438    3.540626
               116  |  -1.056077   .4841812    -2.18   0.029    -2.005054   -.1070991
               117  |  -2.494316   .3549636    -7.03   0.000    -3.190032     -1.7986
               118  |  -2.050082   .5530842    -3.71   0.000    -3.134107   -.9660567
               119  |  -5.887897   .3517779   -16.74   0.000    -6.577369   -5.198425
               120  |  -2.823252   .4321988    -6.53   0.000    -3.670346   -1.976158
               121  |  -2.529315   .3596224    -7.03   0.000    -3.234162   -1.824468
               122  |  -2.469932   .4227474    -5.84   0.000    -3.298502   -1.641362
               123  |  -3.261661   .4740832    -6.88   0.000    -4.190847   -2.332475
               124  |  -2.999542   .3566913    -8.41   0.000    -3.698644    -2.30044
               125  |  -4.687026   .3753682   -12.49   0.000    -5.422734   -3.951317
               126  |  -.4940527   .4746302    -1.04   0.298    -1.424311    .4362054
               127  |  -2.868572   .3639861    -7.88   0.000    -3.581972   -2.155173
               128  |  -4.395328   .4074372   -10.79   0.000     -5.19389   -3.596765
               129  |  -1.665173   .3855574    -4.32   0.000    -2.420852   -.9094943
               130  |   -4.78661   .4364154   -10.97   0.000    -5.641969   -3.931252
               131  |  -3.622363    .456155    -7.94   0.000    -4.516411   -2.728316
               132  |  -3.443448    .344947    -9.98   0.000    -4.119532   -2.767364
               133  |  -.9162898   .9756041    -0.94   0.348    -2.828439    .9958592
               134  |    -3.8867   .4436315    -8.76   0.000    -4.756202   -3.017198
               135  |   -2.39775   .4529223    -5.29   0.000    -3.285461   -1.510038
               136  |  -2.902588   .3983826    -7.29   0.000    -3.683403   -2.121772
               137  |  -1.448136   .4181356    -3.46   0.001    -2.267667   -.6286052
               138  |  -1.352908   .3707659    -3.65   0.000    -2.079596   -.6262201
               139  |    -2.2041   .3850186    -5.72   0.000    -2.958723   -1.449477
               140  |    1.57529   .8918674     1.77   0.077     -.172738    3.323318
               141  |  -4.644517   .3884613   -11.96   0.000    -5.405887   -3.883147
               142  |  -6.102918   .4259642   -14.33   0.000    -6.937793   -5.268044
               144  |  -4.878642   .4062253   -12.01   0.000    -5.674829   -4.082455
               145  |  -3.103266   .3870899    -8.02   0.000    -3.861948   -2.344584
               146  |  -2.857299   .5576113    -5.12   0.000    -3.950197     -1.7644
               147  |  -5.875408   .4067831   -14.44   0.000    -6.672688   -5.078128
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               116  |   1.303273    .657998     1.98   0.048     .0136202    2.592925
               117  |   -.596896   .4823925    -1.24   0.216    -1.542368     .348576
               118  |  -1.150137   .7516367    -1.53   0.126    -2.623317    .3230441
               119  |  -3.500558   .4780631    -7.32   0.000    -4.437545   -2.563572
               120  |  -.7601493   .5873544    -1.29   0.196    -1.911343    .3910442
               121  |  -.6885547   .4887237    -1.41   0.159    -1.646436    .2693261
               122  |  -.4115291   .5745101    -0.72   0.474    -1.537548      .71449
               123  |  -.0358222    .644275    -0.06   0.956    -1.298578    1.226934
               124  |  -.3761729   .4847404    -0.78   0.438    -1.326247    .5739008
               125  |  -1.440304   .5101222    -2.82   0.005    -2.440126   -.4404833
               126  |  -2.293004   .6450183    -3.55   0.000    -3.557217   -1.028791
               127  |  -1.149914    .494654    -2.32   0.020    -2.119418   -.1804102
               128  |  -.7814094   .5537037    -1.41   0.158    -1.866649    .3038298
               129  |  -.6718737   .5239692    -1.28   0.200    -1.698835    .3550872
               130  |  -3.677031   .5930848    -6.20   0.000    -4.839456   -2.514606
               131  |  -2.563962   .6199107    -4.14   0.000    -3.778964   -1.348959
               132  |  -.9894021   .4687801    -2.11   0.035    -1.908194     -.07061
               133  |   .4391451   1.325838     0.33   0.740    -2.159449    3.037739
               134  |  -2.690944   .6028914    -4.46   0.000     -3.87259   -1.509299
               135  |  -1.702257   .6155175    -2.77   0.006     -2.90865   -.4958654
               136  |  -.0256647   .5413985    -0.05   0.962    -1.086786    1.035457
               137  |   .0091682   .5682427     0.02   0.987    -1.104567    1.122903
               138  |  -.1313134   .5038676    -0.26   0.794    -1.118876    .8562489
               139  |   .2741395    .523237     0.52   0.600    -.7513862    1.299665
               140  |   .0042767    1.21204     0.00   0.997    -2.371278    2.379832
               141  |   -1.17238   .5279156    -2.22   0.026    -2.207075   -.1376841
               142  |   .9100964   .5788816     1.57   0.116    -.2244907    2.044684
               144  |  -2.260958   .5520567    -4.10   0.000    -3.342969   -1.178947
               145  |  -.9140059   .5260519    -1.74   0.082    -1.945049    .1170368
               146  |  -1.480175    .757789    -1.95   0.051    -2.965414    .0050643
               147  |    .890796   .5528148     1.61   0.107    -.1927011    1.974293
               148  |  -1.179658   .6519953    -1.81   0.070    -2.457545    .0982293
               149  |  -.6987107   .4976634    -1.40   0.160    -1.674113    .2766916
               150  |  -3.436268   .5642585    -6.09   0.000    -4.542195   -2.330342
               151  |  -2.893777   .4754847    -6.09   0.000     -3.82571   -1.961844
               152  |   .2145479   .4892041     0.44   0.661    -.7442744     1.17337
               153  |  -2.103248   .5884835    -3.57   0.000    -3.256654   -.9498412
               154  |   -1.06023   .7762123    -1.37   0.172    -2.581579    .4611178
               155  |   -1.41647   .5236257    -2.71   0.007    -2.442758   -.3901827
               156  |  -1.501725   .5181592    -2.90   0.004    -2.517299   -.4861521
               159  |  -.0964046   .9865815    -0.10   0.922    -2.030069     1.83726
               160  |  -1.359717   .7426304    -1.83   0.067    -2.815246    .0958115
               161  |  -2.344125   .6231754    -3.76   0.000    -3.565526   -1.122723
               162  |  -2.106626   .6786269    -3.10   0.002     -3.43671   -.7765417
               163  |   -3.13239   .5869784    -5.34   0.000    -4.282847   -1.981934
               164  |  -1.430619   .6580889    -2.17   0.030     -2.72045   -.1407888
               165  |   .6153562     .96171     0.64   0.522    -1.269561    2.500273
               167  |  -1.676156   .5008602    -3.35   0.001    -2.657824   -.6944882
               168  |  -1.299466   .5269276    -2.47   0.014    -2.332225   -.2667069
               169  |  -1.342986    .525911    -2.55   0.011    -2.373753   -.3122196
               170  |  -.4995994   .5972285    -0.84   0.403    -1.670146    .6709469
               171  |   -3.03599   .5942542    -5.11   0.000    -4.200707   -1.871274
               172  |   -1.37824   .8013347    -1.72   0.085    -2.948827    .1923471
               173  |   .8533457   1.002641     0.85   0.395    -1.111794    2.818486
               174  |  -1.128611   .6353633    -1.78   0.076      -2.3739    .1166783
               175  |   1.009753    .500025     2.02   0.043     .0297222    1.989784
               176  |   1.316509   .5634726     2.34   0.019     .2121234    2.420896
               177  |   1.875535   1.307708     1.43   0.152    -.6875255    4.438596
               179  |   .3700853   .5077449     0.73   0.466    -.6250764    1.365247
               180  |   .0979402   .4883779     0.20   0.841    -.8592629    1.055143
               181  |  -.9199493   .5411468    -1.70   0.089    -1.980578     .140679
               182  |    .422085   .5635871     0.75   0.454    -.6825255    1.526696
               183  |   -5.70312   .9150381    -6.23   0.000    -7.496562   -3.909679
               184  |  -.5831366   .5892853    -0.99   0.322    -1.738115    .5718413
               185  |   -.084735    .919577    -0.09   0.927    -1.887073    1.717603
               186  |  -2.299563   .5484429    -4.19   0.000    -3.374491   -1.224635
               187  |  -.6460406   .5292141    -1.22   0.222    -1.683281       .3912
               188  |  -.7033518   .8618406    -0.82   0.414    -2.392528    .9858248
               189  |   .2412722   .8570672     0.28   0.778    -1.438549    1.921093
               190  |  -.0887869   .5155526    -0.17   0.863    -1.099251    .9216776
               192  |  -3.978536   .5775046    -6.89   0.000    -5.110425   -2.846648
               194  |   .0052406   .4896636     0.01   0.991    -.9544825    .9649637
               195  |  -2.545216   .5048591    -5.04   0.000    -3.534722   -1.555711
                    |
              _cons |  -5.367259   2.807892    -1.91   0.056    -10.87063    .1361096
-------------------------------------------------------------------------------------

.         
.                 test [lnODAnetdis_USA]_b[unscall_pastunga] = [lnWBlend]_b[unscall_pastunga]

 ( 1)  [lnODAnetdis_USA]unscall_pastunga - [lnWBlend]unscall_pastunga = 0

           chi2(  1) =    2.76
         Prob > chi2 =    0.0966

.                 di `r(p)' / 2 // This reports the p-value of a one-sided test 0.048
.04828844

. 
. 
.                 
.                 
.                 
.                 
.                 
. ****APPENDIX:
. 
. 
. 
. *FIGURE A1 
. use  "unscdata.dta", clear

. 
. gen lnUNSCgooglehits = ln(UNSCgooglehits+1)
(271 missing values generated)

. lab var lnUNSCgooglehits "Number of Google hits (ln)"

. 
. gen UNSCgooglehits_plus1 = UNSCgooglehits + 1
(271 missing values generated)

. lab var UNSCgooglehits_plus1 "number of Google hits"

. 
. bys year: egen UNSCgooglehits_ymedian = median(UNSCgooglehits) if country == "Afghanistan"

. lab var UNSCgooglehits_ymedian "yearly median"

. 
. sort code vote_id

. lab var resolution_num "Resolution number" 

. twoway (scatter UNSCgooglehits_plus1 resolution_num if country == "Afghanistan" & UNSCgooglehits_plus1 >= UNSCgooglehits_ymedi
> an, ///
> yscale(log) xlabel(0 (500) 2000) xscale(range(0 2260)) msize(small) msymbol(X) mcolor(maroon) graphregion(color(white)) bgcolo
> r(white) ylabel(0 1 2 5 10 20 50 100 200 500 1000 2000,nogrid angle(0))) ///
> (scatter UNSCgooglehits_plus1 resolution_num if country == "Afghanistan" & UNSCgooglehits_plus1 < UNSCgooglehits_ymedian, ///
> yscale(log) xlabel(0 (500) 2000) xscale(range(0 2260)) msize(small) msymbol(oh) mcolor(black) graphregion(color(white)) bgcolo
> r(white) ylabel(0 1 2 5 10 20 50 100 200 500 1000 2000,nogrid angle(0))) ///
>                 , legend(cols(1) label(1 "above yearly median ('important resolution')") label(2 "below yearly median ('unimpo
> rtant resolution')")) scheme(s2color)

.         graph export "graphs/FigureA1.png", as(png) replace
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/FigureA1.png written in PNG format)

. 
.  
. 
. 
. *TABLE A2 
. 
. use "regressiondata.dta", clear

. 
.         *set sample
.         xtreg  lnODAnetdis_USA  unsc l_lngdppcconst l_lnpop   yearFE* if  oda == 1 & p5 == 0 , fe cluster(countryid) //
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      6,142
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1363                                         min =          6
     between = 0.4106                                         avg =       40.4
     overall = 0.2703                                         max =         55

                                                F(57,151)         =       5.71
corr(u_i, Xb)  = -0.8563                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
lnODAnetdis_~A |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
          unsc |   .1684515   .0989895     1.70   0.091    -.0271319    .3640349
l_lngdppcconst |  -.9513701   .2796605    -3.40   0.001    -1.503923   -.3988171
       l_lnpop |   1.262907   .6702995     1.88   0.061    -.0614699    2.587284
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |  -.1750614   .9877433    -0.18   0.860    -2.126644    1.776521
      yearFE17 |     .30761   .9567884     0.32   0.748    -1.582812    2.198031
      yearFE18 |   .2760702   .9400763     0.29   0.769    -1.581332    2.133472
      yearFE19 |   .1269225   .9145611     0.14   0.890    -1.680066    1.933911
      yearFE20 |   .3657317   .8925642     0.41   0.683    -1.397796    2.129259
      yearFE21 |   .4356627   .9033541     0.48   0.630    -1.349183    2.220509
      yearFE22 |   .2775966   .8745739     0.32   0.751    -1.450385    2.005579
      yearFE23 |   .1224108   .8619925     0.14   0.887    -1.580713    1.825535
      yearFE24 |  -.0704044   .8289233    -0.08   0.932     -1.70819    1.567381
      yearFE25 |  -.3067832   .8068808    -0.38   0.704    -1.901017    1.287451
      yearFE26 |  -.2873909    .770072    -0.37   0.710    -1.808898    1.234117
      yearFE27 |  -.3037159   .7504773    -0.40   0.686    -1.786508    1.179076
      yearFE28 |  -.5320235   .7262249    -0.73   0.465    -1.966898    .9028509
      yearFE29 |  -.5379262   .6976277    -0.77   0.442    -1.916298    .8404458
      yearFE30 |  -.4332431    .688899    -0.63   0.530    -1.794369    .9278829
      yearFE31 |  -.5096767   .6656681    -0.77   0.445    -1.824903    .8055495
      yearFE32 |  -.5486801   .6465616    -0.85   0.397    -1.826156    .7287955
      yearFE33 |  -.6142167   .6185141    -0.99   0.322    -1.836276    .6078428
      yearFE34 |  -.5231484   .6017955    -0.87   0.386    -1.712175    .6658785
      yearFE35 |  -.4933978   .5926669    -0.83   0.406    -1.664388    .6775927
      yearFE36 |  -.5634973   .5827612    -0.97   0.335    -1.714916    .5879216
      yearFE37 |  -.6162342   .5670362    -1.09   0.279    -1.736584    .5041152
      yearFE38 |  -.5264511   .5515667    -0.95   0.341    -1.616236    .5633338
      yearFE39 |  -.4875112   .5427963    -0.90   0.371    -1.559968    .5849451
      yearFE40 |   -.427191   .5334702    -0.80   0.425    -1.481221    .6268387
      yearFE41 |  -.5122729   .5141672    -1.00   0.321    -1.528164     .503618
      yearFE42 |  -.6595518   .4939436    -1.34   0.184    -1.635485    .3163815
      yearFE43 |  -.7558155   .4774736    -1.58   0.116    -1.699207    .1875763
      yearFE44 |  -.8769687   .4573533    -1.92   0.057    -1.780607    .0266696
      yearFE45 |  -.8354633   .4526422    -1.85   0.067    -1.729793    .0588667
      yearFE46 |   -.812464   .4342652    -1.87   0.063    -1.670485    .0455567
      yearFE47 |  -.9484596    .406654    -2.33   0.021    -1.751926    -.144993
      yearFE48 |  -.8118906   .3738289    -2.17   0.031    -1.550501   -.0732798
      yearFE49 |  -.8371119   .3858052    -2.17   0.032    -1.599385   -.0748384
      yearFE50 |  -1.014671   .3689394    -2.75   0.007    -1.743621   -.2857212
      yearFE51 |  -1.222239   .3470323    -3.52   0.001    -1.907905    -.536573
      yearFE52 |  -1.266816   .3297429    -3.84   0.000    -1.918322   -.6153103
      yearFE53 |  -1.236344   .3142572    -3.93   0.000    -1.857253   -.6154348
      yearFE54 |   -.953987   .2894733    -3.30   0.001    -1.525928    -.382046
      yearFE55 |  -.9655191   .2671847    -3.61   0.000    -1.493422   -.4376158
      yearFE56 |  -.8315173   .2529013    -3.29   0.001    -1.331199   -.3318353
      yearFE57 |  -.5494212   .2433789    -2.26   0.025    -1.030289   -.0685533
      yearFE58 |  -.4588061     .24617    -1.86   0.064    -.9451885    .0275764
      yearFE59 |  -.4470392   .2325741    -1.92   0.056    -.9065588    .0124804
      yearFE60 |  -.2985016   .2114241    -1.41   0.160    -.7162331      .11923
      yearFE61 |  -.1918243   .1879274    -1.02   0.309     -.563131    .1794824
      yearFE62 |  -.2391048   .1708273    -1.40   0.164    -.5766251    .0984156
      yearFE63 |  -.0279044   .1521273    -0.18   0.855    -.3284772    .2726685
      yearFE64 |   .0668805   .1353388     0.49   0.622    -.2005218    .3342827
      yearFE65 |   .0687325   .1233277     0.56   0.578    -.1749382    .3124031
      yearFE66 |   .0799295   .1060021     0.75   0.452    -.1295094    .2893684
      yearFE67 |   .0573995   .0880243     0.65   0.515    -.1165189    .2313179
      yearFE68 |   .1773496   .0785187     2.26   0.025     .0222125    .3324867
      yearFE69 |   .0339344   .0480738     0.71   0.481    -.0610498    .1289185
      yearFE70 |          0  (omitted)
         _cons |  -9.235355    11.6988    -0.79   0.431    -32.34982    13.87911
---------------+----------------------------------------------------------------
       sigma_u |  2.3523182
       sigma_e |  1.3476801
           rho |  .75288028   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

. 
.         *view statistics on screen
.         estpost summarize ///
>         unsc voteagainstUSA_cytot /// 
>         votedallwithUSA  votednotallwithUSA   votedallwithUSA_higoo_nor votednotallwithUSA_higoo_nor   ///  
>         lngdppcconst lnpop pastIMF /// 
>         past_aid_dummy past_unga  /// 
>         lnODAnetdis_USA IMFcommitments_lny lnWBlend /// 
>         oda /// 
>         lnODAOOFnetdis_IsDB lnODAOOFnetdis_EBRD /// 
>         nytimes  votednotallwithUSA_isr votedallwithUSA_isr votedallwithUSA_noext votednotallwithUSA_noext voteagainstUSA_cyme
> an   /// 
>         past_ideal  /// 
>         war  odarec trade fdiin domcredit /// 
>          if e(sample) // to view on screen

             |  e(count)   e(sum_w)    e(mean)     e(Var)      e(sd)     e(min)     e(max)     e(sum) 
-------------+----------------------------------------------------------------------------------------
        unsc |      6142       6142   .0568219   .0536019   .2315208          0          1        349 
voteagains~t |      6142       6142   .0851514   .3596264   .5996886          0          8        523 
votedallwi~A |      6142       6142    .027027   .0263008   .1621754          0          1        166 
votednotal~A |      6142       6142   .0297949   .0289118   .1700348          0          1        183 
votedallw~or |      6142       6142   .0271898   .0264549   .1626495          0          1        167 
votednota~or |      6142       6142    .029632   .0287587   .1695838          0          1        182 
lngdppcconst |      6138       6138   7.567759   1.235256   1.111421   4.751814    10.0413   46450.91 
       lnpop |      6141       6141   15.38626   4.079661   2.019817   9.110851   20.99257   94487.02 
     pastIMF |      5826       5826   .7178167   .2025907   .4501007          0          1       4182 
past_aid_d~y |      6074       6074   .7937109   .1637609   .4046738          0          1       4821 
past_ungaUSA |      5156       5156    .225588    .020759   .1440798          0   .8871745   1163.132 
lnODAnetdi~A |      6142       6142   2.541771   4.282585   2.069441          0   9.505037   15611.56 
IMFcommitm~y |      6142       6142    1.09115   3.786746   1.945956          0   10.35866   6701.841 
    lnWBlend |      5649       5649   2.661434   5.814077    2.41124          0   8.760646   15034.44 
         oda |      6142       6142          1          0          0          1          1       6142 
lnODAOOFne~B |      4915       4915   .2442755   .5529474   .7436044          0    6.45545   1200.614 
lnODAOOFne~D |      3179       3179   .2594615   .9649812   .9823346          0    7.29212   824.8282 
     nytimes |      6142       6142   491.0625   38498.85   196.2112        205       1098    3016106 
votednota~sr |      4457       4457   .0217635   .0212946   .1459268          0          1         97 
votedallw~sr |      4457       4457   .0224366   .0219381   .1481153          0          1        100 
votedallwi~t |      6142       6142   .0271898   .0264549   .1626495          0          1        167 
votednotal~t |      6142       6142    .029632   .0287587   .1695838          0          1        182 
vot~A_cymean |      6142       6142   .0035203   .0007425   .0272489          0   .4210526   21.62199 
  past_ideal |      5116       5116    2.85158   .7416442   .8611877  -.7396133   4.805689   14588.68 
         war |      6142       6142   .0579616   .0546109   .2336898          0          1        356 
      odarec |      6142       6142   6.701029   114.2287   10.68778  -2.629482   242.2864   41157.72 
       trade |      5699       5699   73.08062   1664.736   40.80118   .0209992   531.7374   416486.4 
       fdiin |      6142       6142   2.765663   50.05209    7.07475   -82.8921   217.9205    16986.7 
   domcredit |      5457       5457   26.96308   517.7148   22.75335   .0008229   166.5041   147137.5 

.         
.         *label for export:
.         label var unsc "UNSC"

.         label var voteagainstUSA_cytot "UNSC, votes against US"

.         label var votedallwithUSA "UNSC, voted all with US "

.         label var votednotallwithUSA "UNSC, voted not all with US"

.         label var voteagainstUSA_disag_cymean "UNSC, share of votes against US (contested)"

.         label var voteagainstUSA_cymean "UNSC, share of votes against US"

.         label var lnODAnetdis_USA "US aid disbursements (million USD, ln)"

.         label var IMFcommitments_lny "IMF loans (million SDR, ln)"

.         label var lnWBlend "WB loans (million USD, ln)"

.         label var lngdppcconst "GDP per capita (ln)"

.         label var l_lngdppcconst "GDP per capita (ln, t-1)"

.         label var lnpop "Population (ln)"

.         label var pastIMF "Past IMF program"

.         label var past_aid_dummy "Past US aid recipient"

.         label var nytimes "Number of NYTimes articles on UNSC"

.         label var votedallwithUSA_imp "UNSC, voted all with US (important year NYT)"

.         label var votedallwithUSA_unimp "UNSC, voted all with US (unimportant year NYT)"

.         label var votednotallwithUSA_imp "UNSC, voted not all with US (important year NYT)"

.         label var votednotallwithUSA_unimp "UNSC, voted not all with US (unimportant year NYT)"

.         label var votedallwithUSA_higoo_nor "UNSC, voted all with US (important Google)"

.         label var votednotallwithUSA_higoo_nor  "UNSC, voted not all with US (important Google)"

.         label var votedallwithUSA_isr "UNSC, voted all with US (only Israel-related)"

.         label var votednotallwithUSA_isr "UNSC, voted not all with US (only Israel-related)"

.         label var votedallwithUSA_noext "UNSC, voted all with US (excl. extensions)"

.         label var votednotallwithUSA_noext "UNSC, voted not all with US (excl. extensions)"

. 
. 
.         label var past_ideal "Idealpoint distance to US (t-5 to t-2)"

. 
.         label var lnODAOOFnetdis_IsDB  "IsDB aid disbursements (million USD, ln)"

.         label var lnODAOOFnetdis_EBRD  "EBRD aid disbursements (million USD, ln)"

. 
.         label var odarec "Total ODA received (% GDP)"

.         label var trade "Trade (% GDP)"

.         label var fdiin "Incoming FDI (% GDP)"

.         label var domcredit "Domestic private sector credit (% GDP)"

. 
. 
.         *export:
.         capture noisily esttab using "tables/TableA2.txt", cells("Variables (`e(labels)')  count(fmt(0))  mean(fmt(2)) sd(fmt(
> 2)) min(fmt(2)) max(fmt(2))") noobs tab label replace 
(output written to tables/TableA2.txt)

. 
.                 
. *FIGURE A2
. 
.         *set sample
.         xtreg  lnODAnetdis_USA  unsc                                                            l_lngdppcconst l_lnpop  war  y
> earFE* if  oda == 1 & p5 == 0 , fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      6,142
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1363                                         min =          6
     between = 0.4108                                         avg =       40.4
     overall = 0.2703                                         max =         55

                                                F(58,151)         =       6.38
corr(u_i, Xb)  = -0.8566                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
lnODAnetdis_~A |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
          unsc |   .1690544   .0970691     1.74   0.084    -.0227346    .3608435
l_lngdppcconst |  -.9510826   .2796572    -3.40   0.001    -1.503629   -.3985361
       l_lnpop |   1.263552   .6710131     1.88   0.062    -.0622354    2.589339
           war |   .0221178   .2493418     0.09   0.929    -.4705314     .514767
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |  -.1737174   .9881416    -0.18   0.861    -2.126086    1.778652
      yearFE17 |   .3090579   .9572497     0.32   0.747    -1.582275    2.200391
      yearFE18 |   .2781375   .9408515     0.30   0.768    -1.580796    2.137071
      yearFE19 |   .1286569   .9151076     0.14   0.888    -1.679412    1.936726
      yearFE20 |   .3664712   .8925628     0.41   0.682    -1.397053    2.129996
      yearFE21 |   .4373538    .904004     0.48   0.629    -1.348776    2.223484
      yearFE22 |   .2786642   .8751275     0.32   0.751    -1.450412     2.00774
      yearFE23 |   .1237202   .8629523     0.14   0.886      -1.5813     1.82874
      yearFE24 |  -.0701507   .8289446    -0.08   0.933    -1.707978    1.567677
      yearFE25 |  -.3059794   .8071373    -0.38   0.705     -1.90072    1.288762
      yearFE26 |  -.2871481   .7700392    -0.37   0.710    -1.808591    1.234294
      yearFE27 |  -.3026957   .7509092    -0.40   0.687    -1.786341     1.18095
      yearFE28 |  -.5313074   .7264422    -0.73   0.466    -1.966611    .9039963
      yearFE29 |  -.5369715   .6975228    -0.77   0.443    -1.915136    .8411933
      yearFE30 |  -.4328325   .6888089    -0.63   0.531     -1.79378    .9281154
      yearFE31 |   -.509805   .6656141    -0.77   0.445    -1.824925    .8053146
      yearFE32 |  -.5485897     .64645    -0.85   0.397    -1.825845    .7286654
      yearFE33 |  -.6141485   .6183759    -0.99   0.322    -1.835935    .6076379
      yearFE34 |  -.5233487    .601848    -0.87   0.386    -1.712479    .6657819
      yearFE35 |   -.493381   .5925399    -0.83   0.406    -1.664121    .6773588
      yearFE36 |  -.5634259   .5825925    -0.97   0.335    -1.714512    .5876597
      yearFE37 |  -.6163124    .566961    -1.09   0.279    -1.736513    .5038884
      yearFE38 |  -.5273217   .5520321    -0.96   0.341    -1.618026    .5633828
      yearFE39 |  -.4888077   .5435738    -0.90   0.370      -1.5628    .5851849
      yearFE40 |  -.4282678   .5340951    -0.80   0.424    -1.483532    .6269967
      yearFE41 |  -.5136613   .5152069    -1.00   0.320    -1.531607     .504284
      yearFE42 |  -.6609135   .4947715    -1.34   0.184    -1.638482    .3166554
      yearFE43 |  -.7571439   .4784445    -1.58   0.116    -1.702454    .1881661
      yearFE44 |  -.8773564   .4574897    -1.92   0.057    -1.781264    .0265514
      yearFE45 |  -.8360355   .4529492    -1.85   0.067    -1.730972     .058901
      yearFE46 |  -.8126116   .4341761    -1.87   0.063    -1.670456    .0452331
      yearFE47 |  -.9486087   .4067732    -2.33   0.021    -1.752311   -.1449065
      yearFE48 |  -.8118595   .3738169    -2.17   0.031    -1.550447   -.0732725
      yearFE49 |  -.8372549   .3858062    -2.17   0.032     -1.59953   -.0749795
      yearFE50 |   -1.01449   .3686948    -2.75   0.007    -1.742957    -.286023
      yearFE51 |  -1.222393   .3470159    -3.52   0.001    -1.908027   -.5367594
      yearFE52 |  -1.266676   .3294861    -3.84   0.000    -1.917675   -.6156781
      yearFE53 |  -1.236993   .3149867    -3.93   0.000    -1.859343   -.6146425
      yearFE54 |  -.9546561   .2901754    -3.29   0.001    -1.527984   -.3813279
      yearFE55 |  -.9661774   .2679932    -3.61   0.000    -1.495678   -.4366767
      yearFE56 |  -.8315797   .2529075    -3.29   0.001    -1.331274   -.3318854
      yearFE57 |  -.5493405    .243221    -2.26   0.025    -1.029896   -.0687847
      yearFE58 |  -.4586038   .2459746    -1.86   0.064    -.9446002    .0273926
      yearFE59 |  -.4469918   .2324286    -1.92   0.056    -.9062239    .0122404
      yearFE60 |  -.2981567   .2115485    -1.41   0.161     -.716134    .1198206
      yearFE61 |  -.1916424   .1879193    -1.02   0.309    -.5629332    .1796484
      yearFE62 |  -.2386196    .170921    -1.40   0.165    -.5763251     .099086
      yearFE63 |  -.0276139   .1521865    -0.18   0.856    -.3283038    .2730761
      yearFE64 |   .0669918    .135344     0.49   0.621    -.2004208    .3344043
      yearFE65 |   .0689978   .1235231     0.56   0.577    -.1750591    .3130547
      yearFE66 |   .0801829   .1064385     0.75   0.452    -.1301181    .2904839
      yearFE67 |    .057822   .0887733     0.65   0.516    -.1175761    .2332202
      yearFE68 |   .1775615   .0785072     2.26   0.025      .022447    .3326759
      yearFE69 |   .0337879   .0480247     0.70   0.483    -.0610993     .128675
      yearFE70 |          0  (omitted)
         _cons |  -9.248791   11.71113    -0.79   0.431    -32.38763    13.89005
---------------+----------------------------------------------------------------
       sigma_u |  2.3539868
       sigma_e |  1.3477861
           rho |  .75311479   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

.         cap drop baselinesample

.         cap gen baselinesample = 1 if e(sample)

.         
.         *produce graph:
.         graph bar (count) lnODAnetdis_USA if baselinesample == 1 , over(past_aid_dummy, relabel(1 "no" 2 "yes")) ///
>         ytitle("") ylabel(,nogrid) graphregion(color(white)) bgcolor(white) ///
>         blabel(total, size(medsmall) format(%9.0fc)) ///
>         note("Received US Aid" "(in previous period)", pos(6) size(medsmall))

.         graph export "graphs/FigureA2.png", replace
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/FigureA2.png written in PNG format)

. 
.         
. *FIGURE A3
.         
. gen favorable = Veryfavorable + Mostlyfavorable 
(13,233 missing values generated)

. gen unfavorable = Mostlyunfavorable + Veryunfavorable 
(13,233 missing values generated)

. 
. gen lnpctagreeus_unga = ln(pctagreeus_unga)
(4,034 missing values generated)

. corr favorable lnpctagreeus_unga
(obs=401)

             | favora~e lnpcta~a
-------------+------------------
   favorable |   1.0000
lnpctagree~a |   0.6995   1.0000


. 
. gen pctagreeus_unga100 = pctagreeus_unga*100
(3,992 missing values generated)

. twoway (scatter  pctagreeus_unga100 favorable if pctagreeus_unga != 0, msymbol(X) ) , graphregion(color(white)) bgcolor(white)
>  ylab(,nogrid angle(0)) ///
>  yscale(log) ylabel(5 10 20 40 80) ///
>  ytitle("Country's share of UNGA votes with US (%)") xtitle("US voters with favorable view of country (%)") text(4 80 "r = 0.7
> 0")

. graph export "graphs/FigureA3.png", replace
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/FigureA3.png written in PNG format)

. 
. 
. 
.         
. *TABLE A4
.  
.                 xtreg lnODAnetdis_USA    c.unsc##c.past_aid_dummy                                                             
>                                                                                   l_lngdppcconst lnpop             yearFE*  if
>  oda == 1 & p5 == 0, fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      6,073
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.2719                                         min =          6
     between = 0.4430                                         avg =       40.0
     overall = 0.3137                                         max =         54

                                                F(58,151)         =       8.63
corr(u_i, Xb)  = -0.9120                        Prob > F          =     0.0000

                                       (Std. Err. adjusted for 152 clusters in countryid)
-----------------------------------------------------------------------------------------
                        |               Robust
        lnODAnetdis_USA |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------------+----------------------------------------------------------------
                   unsc |  -.2191071   .1565545    -1.40   0.164    -.5284273    .0902132
         past_aid_dummy |   1.702428   .1565379    10.88   0.000     1.393141    2.011715
                        |
c.unsc#c.past_aid_dummy |   .4220974   .2016243     2.09   0.038     .0237284    .8204664
                        |
         l_lngdppcconst |  -.7177231   .1977319    -3.63   0.000    -1.108402   -.3270447
                  lnpop |   1.639188   .5232166     3.13   0.002     .6054169    2.672959
                yearFE1 |          0  (omitted)
                yearFE2 |          0  (omitted)
                yearFE3 |          0  (omitted)
                yearFE4 |          0  (omitted)
                yearFE5 |          0  (omitted)
                yearFE6 |          0  (omitted)
                yearFE7 |          0  (omitted)
                yearFE8 |          0  (omitted)
                yearFE9 |          0  (omitted)
               yearFE10 |          0  (omitted)
               yearFE11 |          0  (omitted)
               yearFE12 |          0  (omitted)
               yearFE13 |          0  (omitted)
               yearFE14 |          0  (omitted)
               yearFE15 |          0  (omitted)
               yearFE16 |          0  (omitted)
               yearFE17 |   1.868224   .7123127     2.62   0.010     .4608379    3.275611
               yearFE18 |   1.625624   .7082802     2.30   0.023     .2262047    3.025043
               yearFE19 |   1.240879   .7011955     1.77   0.079    -.1445419    2.626301
               yearFE20 |   1.388871   .6851141     2.03   0.044      .035223    2.742518
               yearFE21 |   1.384092   .6936697     2.00   0.048     .0135401    2.754644
               yearFE22 |   1.091188   .6684939     1.63   0.105    -.2296215    2.411998
               yearFE23 |   .8776125   .6560346     1.34   0.183    -.4185798    2.173805
               yearFE24 |   .6600246   .6252072     1.06   0.293    -.5752591    1.895308
               yearFE25 |   .4077523   .6080977     0.67   0.504    -.7937264    1.609231
               yearFE26 |    .453745   .5820467     0.78   0.437    -.6962622    1.603752
               yearFE27 |   .4229727   .5665477     0.75   0.456    -.6964116    1.542357
               yearFE28 |     .19928   .5520027     0.36   0.719    -.8913664    1.289926
               yearFE29 |   .2869914   .5293292     0.54   0.588    -.7588567    1.332839
               yearFE30 |   .3946866   .5250829     0.75   0.453    -.6427716    1.432145
               yearFE31 |   .3332845   .5069001     0.66   0.512    -.6682481    1.334817
               yearFE32 |   .2520864   .4949452     0.51   0.611    -.7258257    1.229999
               yearFE33 |   .2547101   .4694681     0.54   0.588    -.6728644    1.182285
               yearFE34 |   .3305777   .4601224     0.72   0.474    -.5785316    1.239687
               yearFE35 |   .3914072   .4563442     0.86   0.392    -.5102371    1.293052
               yearFE36 |   .2717397   .4471461     0.61   0.544    -.6117311     1.15521
               yearFE37 |   .2143479   .4310144     0.50   0.620      -.63725    1.065946
               yearFE38 |    .259936   .4214158     0.62   0.538    -.5726969    1.092569
               yearFE39 |   .3124157   .4140865     0.75   0.452     -.505736    1.130567
               yearFE40 |   .3867652    .409174     0.95   0.346    -.4216804    1.195211
               yearFE41 |   .2901521   .3887577     0.75   0.457     -.477955    1.058259
               yearFE42 |   .1016531   .3691224     0.28   0.783    -.6276585    .8309647
               yearFE43 |  -.0183811   .3556499    -0.05   0.959    -.7210738    .6843116
               yearFE44 |   -.150741   .3407742    -0.44   0.659    -.8240423    .5225604
               yearFE45 |  -.1289597   .3433209    -0.38   0.708    -.8072929    .5493734
               yearFE46 |  -.0825577   .3326419    -0.25   0.804    -.7397913    .5746758
               yearFE47 |  -.2187982   .3089892    -0.71   0.480    -.8292987    .3917023
               yearFE48 |  -.1022138   .2834552    -0.36   0.719    -.6622644    .4578367
               yearFE49 |  -.2055204   .3046293    -0.67   0.501    -.8074066    .3963658
               yearFE50 |  -.4518115   .2979758    -1.52   0.132    -1.040552    .1369287
               yearFE51 |  -.7329216   .2750441    -2.66   0.009    -1.276353   -.1894898
               yearFE52 |  -.7459269   .2572448    -2.90   0.004    -1.254191   -.2376629
               yearFE53 |  -.7205069   .2472914    -2.91   0.004    -1.209105   -.2319088
               yearFE54 |  -.4344877   .2223914    -1.95   0.053    -.8738883    .0049129
               yearFE55 |  -.5348101   .2034695    -2.63   0.009     -.936825   -.1327952
               yearFE56 |  -.4096563   .1930427    -2.12   0.035    -.7910699   -.0282427
               yearFE57 |  -.1810451   .1925016    -0.94   0.348    -.5613896    .1992995
               yearFE58 |  -.1237358   .2016872    -0.61   0.540    -.5222291    .2747575
               yearFE59 |  -.1794497   .1900657    -0.94   0.347    -.5549812    .1960818
               yearFE60 |  -.0619997   .1777545    -0.35   0.728    -.4132068    .2892074
               yearFE61 |   .0517598   .1596475     0.32   0.746    -.2636715    .3671912
               yearFE62 |  -.0643404    .148857    -0.43   0.666    -.3584519     .229771
               yearFE63 |    .145305   .1335176     1.09   0.278     -.118499     .409109
               yearFE64 |   .2010086   .1189512     1.69   0.093     -.034015    .4360322
               yearFE65 |   .1807575   .1089989     1.66   0.099    -.0346023    .3961174
               yearFE66 |   .1694801   .0992119     1.71   0.090    -.0265426    .3655028
               yearFE67 |   .1446646   .0810675     1.78   0.076    -.0155085    .3048377
               yearFE68 |    .202215   .0761057     2.66   0.009     .0518455    .3525845
               yearFE69 |   .0345474   .0485582     0.71   0.478    -.0613939    .1304887
               yearFE70 |          0  (omitted)
                  _cons |  -18.71547   9.016648    -2.08   0.040    -36.53055    -.900383
------------------------+----------------------------------------------------------------
                sigma_u |  3.0203883
                sigma_e |  1.2248522
                    rho |  .85877231   (fraction of variance due to u_i)
-----------------------------------------------------------------------------------------

.                         est store aidrec1us

.                                 estadd local "Dependent" US aid

added macro:
          e(Dependent) : "US aid"

.                                 estadd local "Votes" -

added macro:
              e(Votes) : "-"

.                                 estadd local "Controls" yes

added macro:
           e(Controls) : "yes"

.                 xtreg lnODAnetdis_USA    c.votedallwithUSA##c.past_aid_dummy  c.votednotallwithUSA##c.past_aid_dummy          
>                                   l_lngdppcconst lnpop             yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: past_aid_dummy omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      6,073
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.2721                                         min =          6
     between = 0.4431                                         avg =       40.0
     overall = 0.3139                                         max =         54

                                                F(60,151)         =      10.68
corr(u_i, Xb)  = -0.9116                        Prob > F          =     0.0000

                                                     (Std. Err. adjusted for 152 clusters in countryid)
-------------------------------------------------------------------------------------------------------
                                      |               Robust
                      lnODAnetdis_USA |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------------------------+----------------------------------------------------------------
                      votedallwithUSA |  -.1033096   .2220202    -0.47   0.642    -.5419769    .3353576
                       past_aid_dummy |   1.701877   .1567279    10.86   0.000     1.392214    2.011539
                                      |
   c.votedallwithUSA#c.past_aid_dummy |   .3908579   .2695995     1.45   0.149    -.1418165    .9235323
                                      |
                   votednotallwithUSA |  -.2914758   .1921519    -1.52   0.131    -.6711294    .0881778
                       past_aid_dummy |          0  (omitted)
                                      |
c.votednotallwithUSA#c.past_aid_dummy |    .415596   .2566448     1.62   0.107    -.0914826    .9226746
                                      |
                       l_lngdppcconst |  -.7186147    .197869    -3.63   0.000    -1.109564   -.3276653
                                lnpop |   1.634935   .5234592     3.12   0.002     .6006851    2.669185
                              yearFE1 |          0  (omitted)
                              yearFE2 |          0  (omitted)
                              yearFE3 |          0  (omitted)
                              yearFE4 |          0  (omitted)
                              yearFE5 |          0  (omitted)
                              yearFE6 |          0  (omitted)
                              yearFE7 |          0  (omitted)
                              yearFE8 |          0  (omitted)
                              yearFE9 |          0  (omitted)
                             yearFE10 |          0  (omitted)
                             yearFE11 |          0  (omitted)
                             yearFE12 |          0  (omitted)
                             yearFE13 |          0  (omitted)
                             yearFE14 |          0  (omitted)
                             yearFE15 |          0  (omitted)
                             yearFE16 |          0  (omitted)
                             yearFE17 |   1.861415   .7129663     2.61   0.010     .4527373    3.270093
                             yearFE18 |      1.619   .7090914     2.28   0.024     .2179783    3.020022
                             yearFE19 |   1.235675    .701873     1.76   0.080    -.1510852    2.622435
                             yearFE20 |   1.382596   .6859107     2.02   0.046     .0273739    2.737817
                             yearFE21 |   1.379389    .693938     1.99   0.049     .0083073    2.750471
                             yearFE22 |   1.085835   .6687912     1.62   0.107    -.2355615    2.407232
                             yearFE23 |   .8702663   .6567616     1.33   0.187    -.4273625    2.167895
                             yearFE24 |   .6517697   .6263516     1.04   0.300    -.5857751    1.889314
                             yearFE25 |   .4090932   .6078212     0.67   0.502    -.7918394    1.610026
                             yearFE26 |   .4492049   .5824797     0.77   0.442    -.7016579    1.600068
                             yearFE27 |   .4244609   .5664143     0.75   0.455    -.6946599    1.543582
                             yearFE28 |   .2047548   .5517553     0.37   0.711    -.8854028    1.294912
                             yearFE29 |   .2914532   .5292031     0.55   0.583    -.7541457    1.337052
                             yearFE30 |   .3993453   .5247249     0.76   0.448    -.6374056    1.436096
                             yearFE31 |   .3370827   .5061891     0.67   0.506    -.6630452    1.337211
                             yearFE32 |   .2577651   .4939176     0.52   0.603    -.7181168    1.233647
                             yearFE33 |   .2489159   .4692134     0.53   0.597    -.6781554    1.175987
                             yearFE34 |   .3239825   .4599548     0.70   0.482    -.5847956    1.232761
                             yearFE35 |   .3966442   .4553713     0.87   0.385     -.503078    1.296366
                             yearFE36 |   .2764903   .4460986     0.62   0.536    -.6049109    1.157892
                             yearFE37 |   .2190335      .4301     0.51   0.611    -.6307577    1.068825
                             yearFE38 |   .2653959   .4201511     0.63   0.529    -.5647382     1.09553
                             yearFE39 |   .3194272   .4130065     0.77   0.440    -.4965907    1.135445
                             yearFE40 |   .3930352   .4081989     0.96   0.337    -.4134838    1.199554
                             yearFE41 |     .29626   .3879475     0.76   0.446    -.4702463    1.062766
                             yearFE42 |   .1069998   .3685217     0.29   0.772    -.6211249    .8351245
                             yearFE43 |  -.0129588   .3550003    -0.04   0.971     -.714368    .6884503
                             yearFE44 |  -.1446783   .3400451    -0.43   0.671    -.8165391    .5271824
                             yearFE45 |  -.1234209   .3427768    -0.36   0.719    -.8006789    .5538371
                             yearFE46 |  -.0823008    .332439    -0.25   0.805    -.7391335    .5745319
                             yearFE47 |  -.2212881   .3092659    -0.72   0.475    -.8323353    .3897591
                             yearFE48 |  -.1046157   .2840416    -0.37   0.713    -.6658247    .4565933
                             yearFE49 |  -.2050523   .3035399    -0.68   0.500    -.8047861    .3946815
                             yearFE50 |  -.4449179   .2968166    -1.50   0.136    -1.031368    .1415319
                             yearFE51 |  -.7258701   .2744594    -2.64   0.009    -1.268147   -.1835935
                             yearFE52 |  -.7393782   .2567908    -2.88   0.005    -1.246745   -.2320111
                             yearFE53 |  -.7221057   .2472503    -2.92   0.004    -1.210623   -.2335888
                             yearFE54 |  -.4356735   .2220415    -1.96   0.052    -.8743828    .0030358
                             yearFE55 |   -.535935   .2033692    -2.64   0.009    -.9377518   -.1341183
                             yearFE56 |  -.4029706   .1925426    -2.09   0.038    -.7833961   -.0225451
                             yearFE57 |  -.1761962   .1913478    -0.92   0.359     -.554261    .2018686
                             yearFE58 |   -.118294   .2004448    -0.59   0.556    -.5143326    .2777446
                             yearFE59 |     -.1733   .1889944    -0.92   0.361    -.5467148    .2001149
                             yearFE60 |  -.0634353   .1776493    -0.36   0.722    -.4144347     .287564
                             yearFE61 |   .0578618   .1587355     0.36   0.716    -.2557676    .3714912
                             yearFE62 |   -.063683   .1489108    -0.43   0.670    -.3579008    .2305348
                             yearFE63 |   .1469985   .1333678     1.10   0.272    -.1165095    .4105065
                             yearFE64 |    .201535    .118989     1.69   0.092    -.0335633    .4366333
                             yearFE65 |   .1815891   .1093587     1.66   0.099    -.0344817    .3976598
                             yearFE66 |   .1778193   .0992243     1.79   0.075    -.0182279    .3738665
                             yearFE67 |   .1431043   .0814046     1.76   0.081    -.0177347    .3039433
                             yearFE68 |   .2013703   .0762188     2.64   0.009     .0507773    .3519632
                             yearFE69 |   .0344594   .0485826     0.71   0.479      -.06153    .1304489
                             yearFE70 |          0  (omitted)
                                _cons |  -18.64472    9.02242    -2.07   0.040     -36.4712    -.818228
--------------------------------------+----------------------------------------------------------------
                              sigma_u |  3.0124908
                              sigma_e |  1.2249065
                                  rho |  .85812525   (fraction of variance due to u_i)
-------------------------------------------------------------------------------------------------------

.                         est store aidrec2us

.                                 estadd local "Dependent" US aid

added macro:
          e(Dependent) : "US aid"

.                                 estadd local "Votes" all

added macro:
              e(Votes) : "all"

.                                 estadd local "Controls" yes

added macro:
           e(Controls) : "yes"

.                 xtreg lnODAnetdis_USA    c.votedallwithUSA_higoo_nor##c.past_aid_dummy  c.votednotallwithUSA_higoo_nor##c.past
> _aid_dummy        l_lngdppcconst lnpop             yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: past_aid_dummy omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      6,073
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.2721                                         min =          6
     between = 0.4432                                         avg =       40.0
     overall = 0.3139                                         max =         54

                                                F(60,151)         =      10.78
corr(u_i, Xb)  = -0.9116                        Prob > F          =     0.0000

                                                               (Std. Err. adjusted for 152 clusters in countryid)
-----------------------------------------------------------------------------------------------------------------
                                                |               Robust
                                lnODAnetdis_USA |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------------------------------------+----------------------------------------------------------------
                      votedallwithUSA_higoo_nor |  -.1743548    .218921    -0.80   0.427    -.6068986     .258189
                                 past_aid_dummy |   1.702457   .1566568    10.87   0.000     1.392935     2.01198
                                                |
   c.votedallwithUSA_higoo_nor#c.past_aid_dummy |   .4614939   .2643671     1.75   0.083    -.0608424    .9838302
                                                |
                   votednotallwithUSA_higoo_nor |  -.2478538   .1962209    -1.26   0.208    -.6355469    .1398392
                                 past_aid_dummy |          0  (omitted)
                                                |
c.votednotallwithUSA_higoo_nor#c.past_aid_dummy |   .3720916     .26014     1.43   0.155    -.1418926    .8860759
                                                |
                                 l_lngdppcconst |  -.7184825   .1979077    -3.63   0.000    -1.109508   -.3274567
                                          lnpop |   1.634811   .5235204     3.12   0.002     .6004405    2.669182
                                        yearFE1 |          0  (omitted)
                                        yearFE2 |          0  (omitted)
                                        yearFE3 |          0  (omitted)
                                        yearFE4 |          0  (omitted)
                                        yearFE5 |          0  (omitted)
                                        yearFE6 |          0  (omitted)
                                        yearFE7 |          0  (omitted)
                                        yearFE8 |          0  (omitted)
                                        yearFE9 |          0  (omitted)
                                       yearFE10 |          0  (omitted)
                                       yearFE11 |          0  (omitted)
                                       yearFE12 |          0  (omitted)
                                       yearFE13 |          0  (omitted)
                                       yearFE14 |          0  (omitted)
                                       yearFE15 |          0  (omitted)
                                       yearFE16 |          0  (omitted)
                                       yearFE17 |   1.861662   .7130808     2.61   0.010     .4527579    3.270567
                                       yearFE18 |    1.61918    .709198     2.28   0.024     .2179476    3.020413
                                       yearFE19 |   1.235773   .7019564     1.76   0.080    -.1511514    2.622698
                                       yearFE20 |   1.382674   .6859846     2.02   0.046     .0273063    2.738042
                                       yearFE21 |   1.379435   .6939987     1.99   0.049     .0082329    2.750637
                                       yearFE22 |   1.085857   .6688502     1.62   0.107    -.2356569     2.40737
                                       yearFE23 |   .8702835    .656824     1.32   0.187    -.4274685    2.168036
                                       yearFE24 |   .6518112   .6263951     1.04   0.300    -.5858196    1.889442
                                       yearFE25 |   .4091012   .6078632     0.67   0.502    -.7919143    1.610117
                                       yearFE26 |   .4492806   .5825292     0.77   0.442      -.70168    1.600241
                                       yearFE27 |   .4245172   .5664581     0.75   0.455      -.69469    1.543724
                                       yearFE28 |   .2048082    .551805     0.37   0.711    -.8854476    1.295064
                                       yearFE29 |   .2910227   .5291518     0.55   0.583    -.7544748     1.33652
                                       yearFE30 |   .3989164   .5246832     0.76   0.448    -.6377521    1.435585
                                       yearFE31 |   .3371892    .506225     0.67   0.506    -.6630096    1.337388
                                       yearFE32 |   .2578848   .4939568     0.52   0.602    -.7180746    1.233844
                                       yearFE33 |   .2506324   .4692054     0.53   0.594    -.6764232    1.177688
                                       yearFE34 |   .3257029   .4601159     0.71   0.480    -.5833936    1.234799
                                       yearFE35 |   .3970992   .4554627     0.87   0.385    -.5028035    1.297002
                                       yearFE36 |    .276608   .4461463     0.62   0.536    -.6048874    1.158103
                                       yearFE37 |   .2191503   .4301448     0.51   0.611    -.6307292     1.06903
                                       yearFE38 |    .265503   .4201929     0.63   0.528    -.5647137     1.09572
                                       yearFE39 |   .3191322   .4130431     0.77   0.441    -.4969579    1.135222
                                       yearFE40 |   .3927568   .4082268     0.96   0.338    -.4138172    1.199331
                                       yearFE41 |   .2952432   .3879886     0.76   0.448    -.4713442    1.061831
                                       yearFE42 |    .106003   .3686305     0.29   0.774    -.6223368    .8343428
                                       yearFE43 |  -.0135629   .3550543    -0.04   0.970    -.7150789     .687953
                                       yearFE44 |  -.1456418   .3402194    -0.43   0.669    -.8178469    .5265634
                                       yearFE45 |  -.1244408   .3429718    -0.36   0.717    -.8020841    .5532025
                                       yearFE46 |  -.0820485   .3325275    -0.25   0.805    -.7390559    .5749589
                                       yearFE47 |  -.2207853   .3092827    -0.71   0.476    -.8318658    .3902951
                                       yearFE48 |   -.104115    .284091    -0.37   0.715    -.6654215    .4571916
                                       yearFE49 |  -.2040661   .3035912    -0.67   0.503    -.8039012     .395769
                                       yearFE50 |  -.4456422   .2968116    -1.50   0.135    -1.032082    .1407978
                                       yearFE51 |  -.7268868   .2745616    -2.65   0.009    -1.269365   -.1844083
                                       yearFE52 |  -.7403728   .2568651    -2.88   0.005    -1.247887    -.232859
                                       yearFE53 |  -.7211859   .2471812    -2.92   0.004    -1.209566   -.2328056
                                       yearFE54 |  -.4342607   .2219035    -1.96   0.052    -.8726974    .0041761
                                       yearFE55 |   -.534567   .2030918    -2.63   0.009    -.9358356   -.1332985
                                       yearFE56 |   -.404263   .1927087    -2.10   0.038    -.7850167   -.0235094
                                       yearFE57 |  -.1761279   .1913462    -0.92   0.359    -.5541895    .2019336
                                       yearFE58 |  -.1182347   .2004312    -0.59   0.556    -.5142465    .2777771
                                       yearFE59 |  -.1735294   .1890547    -0.92   0.360    -.5470635    .2000047
                                       yearFE60 |   -.062523   .1775238    -0.35   0.725    -.4132744    .2882284
                                       yearFE61 |   .0577953   .1587626     0.36   0.716    -.2558877    .3714784
                                       yearFE62 |  -.0636388   .1489146    -0.43   0.670    -.3578642    .2305865
                                       yearFE63 |   .1475609   .1332969     1.11   0.270     -.115807    .4109287
                                       yearFE64 |   .2012263   .1188024     1.69   0.092    -.0335033    .4359559
                                       yearFE65 |   .1812998   .1093797     1.66   0.099    -.0348125    .3974122
                                       yearFE66 |   .1778142   .0992293     1.79   0.075    -.0182429    .3738713
                                       yearFE67 |   .1431253   .0814058     1.76   0.081    -.0177162    .3039667
                                       yearFE68 |   .2013789   .0762191     2.64   0.009     .0507853    .3519726
                                       yearFE69 |   .0344595   .0485841     0.71   0.479    -.0615328    .1304518
                                       yearFE70 |          0  (omitted)
                                          _cons |  -18.64429   9.023467    -2.07   0.041    -36.47285   -.8157317
------------------------------------------------+----------------------------------------------------------------
                                        sigma_u |  3.0122494
                                        sigma_e |  1.2249358
                                            rho |  .85809992   (fraction of variance due to u_i)
-----------------------------------------------------------------------------------------------------------------

.                         est store aidrec3us

.                                 estadd local "Dependent" US aid

added macro:
          e(Dependent) : "US aid"

.                                 estadd local "Votes" important

added macro:
              e(Votes) : "important"

.                                 estadd local "Controls" yes

added macro:
           e(Controls) : "yes"

.                 
.                 xtreg IMFcommitments_lny    c.unsc##c.past_aid_dummy                                                          
>                                                                                           l_lngdppcconst lnpop pastIMF     yea
> rFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,774
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1212                                         min =          6
     between = 0.3030                                         avg =       38.0
     overall = 0.1431                                         max =         53

                                                F(58,151)         =       9.72
corr(u_i, Xb)  = -0.2240                        Prob > F          =     0.0000

                                       (Std. Err. adjusted for 152 clusters in countryid)
-----------------------------------------------------------------------------------------
                        |               Robust
     IMFcommitments_lny |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------------+----------------------------------------------------------------
                   unsc |   .3312397   .4229718     0.78   0.435    -.5044676    1.166947
         past_aid_dummy |   .0792437   .1325904     0.60   0.551    -.1827282    .3412156
                        |
c.unsc#c.past_aid_dummy |  -.3265516   .4545564    -0.72   0.474    -1.224664    .5715605
                        |
         l_lngdppcconst |  -.3328525   .1277845    -2.60   0.010    -.5853291    -.080376
                  lnpop |    .013658   .3935843     0.03   0.972    -.7639854    .7913013
                pastIMF |   1.508993   .1583475     9.53   0.000      1.19613    1.821856
                yearFE1 |          0  (omitted)
                yearFE2 |          0  (omitted)
                yearFE3 |          0  (omitted)
                yearFE4 |          0  (omitted)
                yearFE5 |          0  (omitted)
                yearFE6 |          0  (omitted)
                yearFE7 |          0  (omitted)
                yearFE8 |          0  (omitted)
                yearFE9 |          0  (omitted)
               yearFE10 |          0  (omitted)
               yearFE11 |          0  (omitted)
               yearFE12 |          0  (omitted)
               yearFE13 |          0  (omitted)
               yearFE14 |          0  (omitted)
               yearFE15 |          0  (omitted)
               yearFE16 |          0  (omitted)
               yearFE17 |  -.2665767   .5269428    -0.51   0.614     -1.30771    .7745562
               yearFE18 |  -.3048692   .5338626    -0.57   0.569    -1.359674    .7499359
               yearFE19 |  -.3114431   .5232873    -0.60   0.553    -1.345354    .7224673
               yearFE20 |  -.2057516   .5262736    -0.39   0.696    -1.245562    .8340591
               yearFE21 |  -.1593007   .4949921    -0.32   0.748    -1.137306    .8187041
               yearFE22 |  -.1822083   .4658546    -0.39   0.696    -1.102643    .7382267
               yearFE23 |  -.0391611   .4545655    -0.09   0.931    -.9372912     .858969
               yearFE24 |  -.2687514   .4593054    -0.59   0.559    -1.176247    .6387438
               yearFE25 |   -.351872   .4492707    -0.78   0.435    -1.239541    .5357966
               yearFE26 |  -.5320355    .427322    -1.25   0.215    -1.376338    .3122669
               yearFE27 |  -.3476382   .4240999    -0.82   0.414    -1.185574    .4902979
               yearFE28 |  -.4800016   .4219131    -1.14   0.257    -1.313617    .3536138
               yearFE29 |  -.5234248   .4282977    -1.22   0.224    -1.369655    .3228053
               yearFE30 |     -.5712   .4103882    -1.39   0.166    -1.382045    .2396446
               yearFE31 |  -.4026526   .4006158    -1.01   0.316    -1.194189    .3888837
               yearFE32 |  -.1160412   .3649543    -0.32   0.751    -.8371174    .6050351
               yearFE33 |  -.1930744   .3811067    -0.51   0.613    -.9460647    .5599159
               yearFE34 |   .1000274   .3788002     0.26   0.792    -.6484057    .8484605
               yearFE35 |   .4581323   .3921043     1.17   0.244    -.3165869    1.232852
               yearFE36 |    .583542   .3842243     1.52   0.131     -.175608    1.342692
               yearFE37 |    .214548    .357421     0.60   0.549     -.491644    .9207401
               yearFE38 |   .8541803   .3352593     2.55   0.012     .1917753    1.516585
               yearFE39 |   .3567468   .3113719     1.15   0.254    -.2584614     .971955
               yearFE40 |   .3193374   .3289376     0.97   0.333    -.3305772     .969252
               yearFE41 |   .2144052   .3060365     0.70   0.485    -.3902614    .8190719
               yearFE42 |   .3132382   .2843784     1.10   0.272    -.2486363    .8751126
               yearFE43 |   .3610264   .3072146     1.18   0.242    -.2459679    .9680207
               yearFE44 |   .6842099   .3006134     2.28   0.024     .0902582    1.278162
               yearFE45 |   .3586633    .273206     1.31   0.191    -.1811369    .8984635
               yearFE46 |   .5157975   .2666205     1.93   0.055     -.010991    1.042586
               yearFE47 |    .461936   .2544913     1.82   0.071    -.0408875    .9647595
               yearFE48 |   .1601172   .2769041     0.58   0.564    -.3869897    .7072241
               yearFE49 |   .4449254   .2690967     1.65   0.100    -.0867557    .9766064
               yearFE50 |   .5413244   .2517703     2.15   0.033      .043877    1.038772
               yearFE51 |   .5404207   .2435739     2.22   0.028     .0591676    1.021674
               yearFE52 |   .5025351   .2636289     1.91   0.059    -.0183426    1.023413
               yearFE53 |   .5532088   .2514714     2.20   0.029     .0563519    1.050066
               yearFE54 |   .5657795   .2403682     2.35   0.020     .0908603    1.040699
               yearFE55 |   .4848139    .238462     2.03   0.044     .0136609    .9559669
               yearFE56 |   .4433799   .2531453     1.75   0.082    -.0567842    .9435441
               yearFE57 |   .2452758   .2472903     0.99   0.323    -.2433202    .7338717
               yearFE58 |   .4066746   .2428057     1.67   0.096    -.0730606    .8864098
               yearFE59 |    .230234   .2370235     0.97   0.333    -.2380767    .6985447
               yearFE60 |   .0166091   .2415132     0.07   0.945    -.4605724    .4937907
               yearFE61 |  -.1526484   .2315621    -0.66   0.511    -.6101686    .3048719
               yearFE62 |  -.2867905   .2324441    -1.23   0.219    -.7460533    .1724723
               yearFE63 |   -.072721   .2068157    -0.35   0.726    -.4813473    .3359053
               yearFE64 |   .4002919    .243753     1.64   0.103    -.0813151    .8818988
               yearFE65 |   .2657105   .1963929     1.35   0.178    -.1223223    .6537433
               yearFE66 |   .1553078   .2113259     0.73   0.464    -.2622298    .5728454
               yearFE67 |  -.0158459   .1901962    -0.08   0.934    -.3916353    .3599435
               yearFE68 |  -.1730607   .1335669    -1.30   0.197    -.4369621    .0908408
               yearFE69 |          0  (omitted)
               yearFE70 |          0  (omitted)
                  _cons |   2.104157   6.577492     0.32   0.749    -10.89164    15.09996
------------------------+----------------------------------------------------------------
                sigma_u |  .80104981
                sigma_e |   1.682898
                    rho |  .18471872   (fraction of variance due to u_i)
-----------------------------------------------------------------------------------------

.                         est store aidrec1imf

.                                 estadd local "Dependent" IMF loans

added macro:
          e(Dependent) : "IMF loans"

.                                 estadd local "Votes" -

added macro:
              e(Votes) : "-"

.                                 estadd local "Controls" yes

added macro:
           e(Controls) : "yes"

.                 xtreg IMFcommitments_lny    c.votedallwithUSA##c.past_aid_dummy  c.votednotallwithUSA##c.past_aid_dummy       
>                                           l_lngdppcconst lnpop pastIMF    yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid
> ) 
note: past_aid_dummy omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,774
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1239                                         min =          6
     between = 0.3035                                         avg =       38.0
     overall = 0.1449                                         max =         53

                                                F(60,151)         =       9.74
corr(u_i, Xb)  = -0.2162                        Prob > F          =     0.0000

                                                     (Std. Err. adjusted for 152 clusters in countryid)
-------------------------------------------------------------------------------------------------------
                                      |               Robust
                   IMFcommitments_lny |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------------------------+----------------------------------------------------------------
                      votedallwithUSA |   1.343096   .5783696     2.32   0.022     .2003541    2.485838
                       past_aid_dummy |   .0735201   .1324375     0.56   0.580    -.1881498    .3351901
                                      |
   c.votedallwithUSA#c.past_aid_dummy |  -1.110613   .6234063    -1.78   0.077    -2.342339    .1211121
                                      |
                   votednotallwithUSA |  -.3132763   .4084934    -0.77   0.444    -1.120377    .4938246
                       past_aid_dummy |          0  (omitted)
                                      |
c.votednotallwithUSA#c.past_aid_dummy |   .1169251   .4521756     0.26   0.796     -.776483    1.010333
                                      |
                       l_lngdppcconst |  -.3362666   .1281595    -2.62   0.010    -.5894841   -.0830492
                                lnpop |   .0085592   .3919998     0.02   0.983    -.7659537    .7830721
                              pastIMF |   1.496375   .1575662     9.50   0.000     1.185056    1.807694
                              yearFE1 |          0  (omitted)
                              yearFE2 |          0  (omitted)
                              yearFE3 |          0  (omitted)
                              yearFE4 |          0  (omitted)
                              yearFE5 |          0  (omitted)
                              yearFE6 |          0  (omitted)
                              yearFE7 |          0  (omitted)
                              yearFE8 |          0  (omitted)
                              yearFE9 |          0  (omitted)
                             yearFE10 |          0  (omitted)
                             yearFE11 |          0  (omitted)
                             yearFE12 |          0  (omitted)
                             yearFE13 |          0  (omitted)
                             yearFE14 |          0  (omitted)
                             yearFE15 |          0  (omitted)
                             yearFE16 |          0  (omitted)
                             yearFE17 |  -.2895701   .5258484    -0.55   0.583    -1.328541    .7494006
                             yearFE18 |  -.3266805   .5340898    -0.61   0.542    -1.381935    .7285736
                             yearFE19 |  -.3283039   .5231398    -0.63   0.531    -1.361923     .705315
                             yearFE20 |  -.2251025   .5265238    -0.43   0.670    -1.265408    .8152027
                             yearFE21 |  -.1730882   .4967833    -0.35   0.728    -1.154632    .8084557
                             yearFE22 |  -.1976526   .4671184    -0.42   0.673    -1.120585    .7252795
                             yearFE23 |  -.0605715   .4548912    -0.13   0.894    -.9593451     .838202
                             yearFE24 |  -.2930371   .4607988    -0.64   0.526    -1.203483    .6174086
                             yearFE25 |  -.3486948   .4474467    -0.78   0.437    -1.232759    .5353699
                             yearFE26 |  -.5461202   .4291054    -1.27   0.205    -1.393946    .3017057
                             yearFE27 |  -.3445885   .4207377    -0.82   0.414    -1.175882    .4867045
                             yearFE28 |  -.4657265   .4187151    -1.11   0.268    -1.293023    .3615704
                             yearFE29 |  -.5064045   .4274428    -1.18   0.238    -1.350945    .3381364
                             yearFE30 |  -.5538142   .4099558    -1.35   0.179    -1.363804     .256176
                             yearFE31 |  -.3937248   .4002406    -0.98   0.327     -1.18452    .3970703
                             yearFE32 |   -.101926   .3648773    -0.28   0.780    -.8228501    .6189981
                             yearFE33 |  -.2276068   .3801413    -0.60   0.550    -.9786895     .523476
                             yearFE34 |   .0648511   .3794042     0.17   0.865    -.6847753    .8144774
                             yearFE35 |   .4682872   .3885034     1.21   0.230    -.2993174    1.235892
                             yearFE36 |   .5957837   .3815237     1.56   0.120    -.1580303    1.349598
                             yearFE37 |   .2266287   .3557137     0.64   0.525    -.4761901    .9294476
                             yearFE38 |   .8682973   .3344434     2.60   0.010     .2075044     1.52909
                             yearFE39 |   .3793258   .3104004     1.22   0.224     -.233963    .9926146
                             yearFE40 |   .3396892   .3284254     1.03   0.303    -.3092133    .9885917
                             yearFE41 |   .2422981   .3040964     0.80   0.427    -.3585352    .8431314
                             yearFE42 |   .3394919   .2814255     1.21   0.230    -.2165482     .895532
                             yearFE43 |   .3836859   .3031411     1.27   0.208      -.21526    .9826319
                             yearFE44 |   .7129801     .29885     2.39   0.018     .1225125    1.303448
                             yearFE45 |    .386217   .2704092     1.43   0.155    -.1480573    .9204912
                             yearFE46 |   .5143883   .2653443     1.94   0.054    -.0098787    1.038655
                             yearFE47 |   .4507143   .2524105     1.79   0.076    -.0479981    .9494268
                             yearFE48 |   .1495301   .2755738     0.54   0.588    -.3949484    .6940086
                             yearFE49 |   .4369649   .2702331     1.62   0.108    -.0969614    .9708912
                             yearFE50 |   .5678814    .250981     2.26   0.025     .0719934    1.063769
                             yearFE51 |   .5706224   .2439681     2.34   0.021     .0885905    1.052654
                             yearFE52 |   .5312013   .2634483     2.02   0.046     .0106804    1.051722
                             yearFE53 |   .5412371   .2510527     2.16   0.033     .0452076    1.037267
                             yearFE54 |   .5498688     .23969     2.29   0.023     .0762896    1.023448
                             yearFE55 |   .4692692   .2425979     1.93   0.055    -.0100554    .9485938
                             yearFE56 |   .4755847   .2490346     1.91   0.058    -.0164577    .9676271
                             yearFE57 |   .2582639   .2467317     1.05   0.297    -.2292283    .7457562
                             yearFE58 |   .4211662   .2410362     1.75   0.083    -.0550728    .8974052
                             yearFE59 |   .2494309   .2355348     1.06   0.291    -.2159386    .7148004
                             yearFE60 |    .004416   .2413298     0.02   0.985    -.4724032    .4812351
                             yearFE61 |  -.1355395   .2290452    -0.59   0.555    -.5880868    .3170078
                             yearFE62 |  -.2851026   .2313409    -1.23   0.220    -.7421857    .1719804
                             yearFE63 |   -.073557   .2060325    -0.36   0.722    -.4806358    .3335217
                             yearFE64 |   .3999659   .2424725     1.65   0.101     -.079111    .8790428
                             yearFE65 |   .2714047   .1955292     1.39   0.167    -.1149217    .6577312
                             yearFE66 |   .1773953   .2085792     0.85   0.396    -.2347152    .5895058
                             yearFE67 |  -.0197301    .190595    -0.10   0.918    -.3963076    .3568474
                             yearFE68 |  -.1750474   .1331929    -1.31   0.191    -.4382098     .088115
                             yearFE69 |          0  (omitted)
                             yearFE70 |          0  (omitted)
                                _cons |   2.216866   6.553007     0.34   0.736    -10.73056    15.16429
--------------------------------------+----------------------------------------------------------------
                              sigma_u |  .79786596
                              sigma_e |  1.6805447
                                  rho |  .18394195   (fraction of variance due to u_i)
-------------------------------------------------------------------------------------------------------

.                         est store aidrec2imf

.                                 estadd local "Dependent" IMF loans

added macro:
          e(Dependent) : "IMF loans"

.                                 estadd local "Votes" all

added macro:
              e(Votes) : "all"

.                                 estadd local "Controls" yes

added macro:
           e(Controls) : "yes"

.                 xtreg IMFcommitments_lny    c.votedallwithUSA_higoo_nor##c.past_aid_dummy  c.votednotallwithUSA_higoo_nor##c.p
> ast_aid_dummy     l_lngdppcconst lnpop pastIMF     yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: past_aid_dummy omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,774
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1234                                         min =          6
     between = 0.3033                                         avg =       38.0
     overall = 0.1446                                         max =         53

                                                F(60,151)         =       9.63
corr(u_i, Xb)  = -0.2171                        Prob > F          =     0.0000

                                                               (Std. Err. adjusted for 152 clusters in countryid)
-----------------------------------------------------------------------------------------------------------------
                                                |               Robust
                             IMFcommitments_lny |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------------------------------------+----------------------------------------------------------------
                      votedallwithUSA_higoo_nor |   1.181215   .5905599     2.00   0.047     .0143876    2.348043
                                 past_aid_dummy |   .0759122    .132153     0.57   0.567    -.1851955    .3370198
                                                |
   c.votedallwithUSA_higoo_nor#c.past_aid_dummy |  -.9499214   .6375028    -1.49   0.138    -2.209499     .309656
                                                |
                   votednotallwithUSA_higoo_nor |  -.2471206   .4028403    -0.61   0.541    -1.043052    .5488108
                                 past_aid_dummy |          0  (omitted)
                                                |
c.votednotallwithUSA_higoo_nor#c.past_aid_dummy |    .050569   .4473272     0.11   0.910    -.8332595    .9343976
                                                |
                                 l_lngdppcconst |   -.335891   .1281686    -2.62   0.010    -.5891265   -.0826556
                                          lnpop |   .0088963   .3924599     0.02   0.982    -.7665255     .784318
                                        pastIMF |   1.498094   .1574049     9.52   0.000     1.187094    1.809094
                                        yearFE1 |          0  (omitted)
                                        yearFE2 |          0  (omitted)
                                        yearFE3 |          0  (omitted)
                                        yearFE4 |          0  (omitted)
                                        yearFE5 |          0  (omitted)
                                        yearFE6 |          0  (omitted)
                                        yearFE7 |          0  (omitted)
                                        yearFE8 |          0  (omitted)
                                        yearFE9 |          0  (omitted)
                                       yearFE10 |          0  (omitted)
                                       yearFE11 |          0  (omitted)
                                       yearFE12 |          0  (omitted)
                                       yearFE13 |          0  (omitted)
                                       yearFE14 |          0  (omitted)
                                       yearFE15 |          0  (omitted)
                                       yearFE16 |          0  (omitted)
                                       yearFE17 |  -.2866297   .5258587    -0.55   0.587    -1.325621    .7523613
                                       yearFE18 |  -.3240829   .5342091    -0.61   0.545    -1.379573    .7314068
                                       yearFE19 |  -.3259926   .5232852    -0.62   0.534    -1.359899    .7079137
                                       yearFE20 |  -.2229969   .5266577    -0.42   0.673    -1.263567    .8175727
                                       yearFE21 |  -.1712056   .4969206    -0.34   0.731    -1.153021    .8106095
                                       yearFE22 |  -.1959219   .4672494    -0.42   0.676    -1.119113     .727269
                                       yearFE23 |  -.0588656   .4550139    -0.13   0.897    -.9578815    .8401503
                                       yearFE24 |  -.2913345   .4611492    -0.63   0.529    -1.202473    .6198036
                                       yearFE25 |  -.3470708   .4477996    -0.78   0.440    -1.231833    .5376911
                                       yearFE26 |  -.5443797   .4292494    -1.27   0.207     -1.39249    .3037307
                                       yearFE27 |  -.3429044   .4208512    -0.81   0.416    -1.174422    .4886129
                                       yearFE28 |  -.4640581   .4188664    -1.11   0.270    -1.291654    .3635377
                                       yearFE29 |  -.5055462   .4275259    -1.18   0.239    -1.350251     .339159
                                       yearFE30 |  -.5529486   .4100022    -1.35   0.179     -1.36303    .2571333
                                       yearFE31 |   -.391989   .4003103    -0.98   0.329    -1.182922    .3989437
                                       yearFE32 |  -.1002722   .3649259    -0.27   0.784    -.8212923     .620748
                                       yearFE33 |  -.2220888   .3808111    -0.58   0.561    -.9744949    .5303173
                                       yearFE34 |     .07018   .3798987     0.18   0.854    -.6804234    .8207834
                                       yearFE35 |   .4709608   .3889506     1.21   0.228    -.2975273    1.239449
                                       yearFE36 |   .5972308   .3818603     1.56   0.120    -.1572484     1.35171
                                       yearFE37 |   .2280441   .3561026     0.64   0.523    -.4755432    .9316313
                                       yearFE38 |   .8696411    .334634     2.60   0.010     .2084716    1.530811
                                       yearFE39 |   .3800301   .3105774     1.22   0.223    -.2336084    .9936686
                                       yearFE40 |   .3404268   .3284245     1.04   0.302    -.3084739    .9893276
                                       yearFE41 |   .2418881   .3043471     0.79   0.428    -.3594407    .8432168
                                       yearFE42 |   .3389698   .2819114     1.20   0.231    -.2180305    .8959701
                                       yearFE43 |   .3836869   .3034844     1.26   0.208    -.2159374    .9833111
                                       yearFE44 |   .7123175   .2991986     2.38   0.019     .1211612    1.303474
                                       yearFE45 |   .3853961   .2707843     1.42   0.157    -.1496193    .9204114
                                       yearFE46 |   .5160679   .2653145     1.95   0.054    -.0081402    1.040276
                                       yearFE47 |   .4526888    .252496     1.79   0.075    -.0461925    .9515701
                                       yearFE48 |     .15139   .2757931     0.55   0.584    -.3935218    .6963017
                                       yearFE49 |   .4398489   .2704879     1.63   0.106    -.0945808    .9742786
                                       yearFE50 |   .5672261   .2509666     2.26   0.025     .0713664    1.063086
                                       yearFE51 |     .56942   .2440191     2.33   0.021     .0872874    1.051553
                                       yearFE52 |   .5300553   .2633006     2.01   0.046     .0098262    1.050284
                                       yearFE53 |   .5437275   .2511088     2.17   0.032     .0475869    1.039868
                                       yearFE54 |   .5534803   .2404489     2.30   0.023     .0784016    1.028559
                                       yearFE55 |   .4727196    .242772     1.95   0.053    -.0069491    .9523883
                                       yearFE56 |   .4738269   .2488096     1.90   0.059    -.0177708    .9654245
                                       yearFE57 |   .2589229   .2467559     1.05   0.296    -.2286171    .7464629
                                       yearFE58 |   .4217768   .2410939     1.75   0.082    -.0545762    .8981299
                                       yearFE59 |   .2496332   .2354238     1.06   0.291    -.2155169    .7147833
                                       yearFE60 |    .006704   .2417656     0.03   0.978    -.4709762    .4843843
                                       yearFE61 |  -.1354654   .2290723    -0.59   0.555    -.5880662    .3171353
                                       yearFE62 |  -.2848112   .2314235    -1.23   0.220    -.7420575     .172435
                                       yearFE63 |  -.0720982   .2060073    -0.35   0.727    -.4791272    .3349308
                                       yearFE64 |   .3902835    .243335     1.60   0.111    -.0904975    .8710645
                                       yearFE65 |   .2710772   .1955282     1.39   0.168    -.1152472    .6574017
                                       yearFE66 |   .1774645   .2085793     0.85   0.396    -.2346463    .5895753
                                       yearFE67 |  -.0196378   .1905871    -0.10   0.918    -.3961995    .3569239
                                       yearFE68 |  -.1750053   .1331948    -1.31   0.191    -.4381715    .0881609
                                       yearFE69 |          0  (omitted)
                                       yearFE70 |          0  (omitted)
                                          _cons |   2.204883    6.55983     0.34   0.737    -10.75602    15.16579
------------------------------------------------+----------------------------------------------------------------
                                        sigma_u |  .79838875
                                        sigma_e |  1.6810492
                                            rho |  .18404851   (fraction of variance due to u_i)
-----------------------------------------------------------------------------------------------------------------

.                         est store aidrec3imf

.                                 estadd local "Dependent" IMF aid

added macro:
          e(Dependent) : "IMF aid"

.                                 estadd local "Votes" important

added macro:
              e(Votes) : "important"

.                                 estadd local "Controls" yes

added macro:
           e(Controls) : "yes"

.                                 
.                 xtreg lnWBlend                          c.unsc##c.past_aid_dummy                                              
>                                                                                                   l_lngdppcconst lnpop        
>      yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,648
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1009                                         min =          6
     between = 0.2195                                         avg =       37.2
     overall = 0.0446                                         max =         48

                                                F(52,151)         =       7.34
corr(u_i, Xb)  = -0.6619                        Prob > F          =     0.0000

                                       (Std. Err. adjusted for 152 clusters in countryid)
-----------------------------------------------------------------------------------------
                        |               Robust
               lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------------+----------------------------------------------------------------
                   unsc |   .8026491   .2582344     3.11   0.002     .2924298    1.312868
         past_aid_dummy |    .477915   .1393782     3.43   0.001     .2025317    .7532983
                        |
c.unsc#c.past_aid_dummy |  -.6694648   .3045468    -2.20   0.029    -1.271188   -.0677416
                        |
         l_lngdppcconst |  -.4305398   .2197746    -1.96   0.052    -.8647701    .0036905
                  lnpop |  -.3878091   .5488601    -0.71   0.481    -1.472246     .696628
                yearFE1 |          0  (omitted)
                yearFE2 |          0  (omitted)
                yearFE3 |          0  (omitted)
                yearFE4 |          0  (omitted)
                yearFE5 |          0  (omitted)
                yearFE6 |          0  (omitted)
                yearFE7 |          0  (omitted)
                yearFE8 |          0  (omitted)
                yearFE9 |          0  (omitted)
               yearFE10 |          0  (omitted)
               yearFE11 |          0  (omitted)
               yearFE12 |          0  (omitted)
               yearFE13 |          0  (omitted)
               yearFE14 |          0  (omitted)
               yearFE15 |          0  (omitted)
               yearFE16 |          0  (omitted)
               yearFE17 |          0  (omitted)
               yearFE18 |          0  (omitted)
               yearFE19 |          0  (omitted)
               yearFE20 |          0  (omitted)
               yearFE21 |          0  (omitted)
               yearFE22 |          0  (omitted)
               yearFE23 |   -3.32126    .681258    -4.88   0.000    -4.667289   -1.975231
               yearFE24 |   -2.99675   .6777476    -4.42   0.000    -4.335843   -1.657657
               yearFE25 |  -2.696936   .6627023    -4.07   0.000    -4.006303    -1.38757
               yearFE26 |  -2.685607   .6451829    -4.16   0.000    -3.960359   -1.410855
               yearFE27 |  -2.478974   .6399273    -3.87   0.000    -3.743342   -1.214607
               yearFE28 |  -2.003154   .6210238    -3.23   0.002    -3.230172    -.776136
               yearFE29 |  -1.903867   .5957718    -3.20   0.002    -3.080993   -.7267421
               yearFE30 |    -1.6992   .5743171    -2.96   0.004    -2.833935   -.5644651
               yearFE31 |  -1.486936   .5523828    -2.69   0.008    -2.578334   -.3955389
               yearFE32 |  -1.575379   .5251528    -3.00   0.003    -2.612975   -.5377829
               yearFE33 |  -1.340611   .5339024    -2.51   0.013    -2.395494   -.2857269
               yearFE34 |  -1.230742   .4983885    -2.47   0.015    -2.215458   -.2460266
               yearFE35 |  -1.053157   .4787104    -2.20   0.029    -1.998992   -.1073212
               yearFE36 |  -1.180757   .4758768    -2.48   0.014    -2.120994     -.24052
               yearFE37 |  -1.386329   .4816075    -2.88   0.005    -2.337889   -.4347695
               yearFE38 |  -1.148883    .455348    -2.52   0.013    -2.048559   -.2492066
               yearFE39 |   -1.39657    .457316    -3.05   0.003    -2.300135   -.4930058
               yearFE40 |  -1.162307   .4303869    -2.70   0.008    -2.012665   -.3119491
               yearFE41 |  -1.370892   .4283961    -3.20   0.002    -2.217317   -.5244676
               yearFE42 |   -1.36201   .4200383    -3.24   0.001    -2.191921   -.5320988
               yearFE43 |   -1.26578   .4210303    -3.01   0.003    -2.097651   -.4339084
               yearFE44 |  -1.279847   .4108718    -3.11   0.002    -2.091647   -.4680474
               yearFE45 |    -1.2442   .4185023    -2.97   0.003    -2.071076   -.4173233
               yearFE46 |  -1.021257   .3903535    -2.62   0.010    -1.792517   -.2499971
               yearFE47 |  -1.059466   .3758737    -2.82   0.005    -1.802117    -.316815
               yearFE48 |  -.8328769    .358775    -2.32   0.022    -1.541744   -.1240096
               yearFE49 |  -.9374573    .331267    -2.83   0.005    -1.591974   -.2829404
               yearFE50 |  -1.025381   .3324152    -3.08   0.002    -1.682167   -.3685952
               yearFE51 |  -1.053863   .3157874    -3.34   0.001    -1.677795   -.4299306
               yearFE52 |  -1.036437   .3131378    -3.31   0.001    -1.655134   -.4177393
               yearFE53 |  -.8093617   .3079945    -2.63   0.009    -1.417897   -.2008265
               yearFE54 |  -1.145589   .2936444    -3.90   0.000    -1.725771   -.5654066
               yearFE55 |  -1.138545   .2927408    -3.89   0.000    -1.716942   -.5601482
               yearFE56 |  -.9052216   .2706132    -3.35   0.001    -1.439899   -.3705443
               yearFE57 |  -1.066901   .2870434    -3.72   0.000    -1.634042   -.4997614
               yearFE58 |  -1.059005    .258981    -4.09   0.000    -1.570699   -.5473104
               yearFE59 |  -.9055672   .2388007    -3.79   0.000    -1.377389   -.4337451
               yearFE60 |   -.940544   .2420974    -3.88   0.000     -1.41888   -.4622082
               yearFE61 |   -.898271   .2261223    -3.97   0.000    -1.345043   -.4514987
               yearFE62 |  -.6776687   .2143389    -3.16   0.002    -1.101159   -.2541781
               yearFE63 |  -.4184531   .2043648    -2.05   0.042    -.8222369   -.0146693
               yearFE64 |  -.2815753   .2226646    -1.26   0.208    -.7215159    .1583652
               yearFE65 |  -.1554795   .2436359    -0.64   0.524    -.6368552    .3258961
               yearFE66 |  -.2792258   .1971735    -1.42   0.159     -.668801    .1103493
               yearFE67 |  -.4843022   .2042265    -2.37   0.019    -.8878127   -.0807918
               yearFE68 |  -.4153497   .1908367    -2.18   0.031    -.7924046   -.0382948
               yearFE69 |   .2372194   .2111882     1.12   0.263    -.1800461    .6544848
               yearFE70 |          0  (omitted)
                  _cons |   12.59016   9.607873     1.31   0.192    -6.393062    31.57339
------------------------+----------------------------------------------------------------
                sigma_u |  2.3056401
                sigma_e |  1.6177492
                    rho |  .67010169   (fraction of variance due to u_i)
-----------------------------------------------------------------------------------------

.                         est store aidrec1wb

.                                 estadd local "Dependent" WB loans

added macro:
          e(Dependent) : "WB loans"

.                                 estadd local "Votes" -

added macro:
              e(Votes) : "-"

.                                 estadd local "Controls" yes

added macro:
           e(Controls) : "yes"

.                 xtreg lnWBlend                           c.votedallwithUSA##c.past_aid_dummy  c.votednotallwithUSA##c.past_aid
> _dummy                                            l_lngdppcconst lnpop            yearFE*  if oda == 1 & p5 == 0, fe cluster(c
> ountryid) 
note: past_aid_dummy omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,648
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1013                                         min =          6
     between = 0.2248                                         avg =       37.2
     overall = 0.0466                                         max =         48

                                                F(54,151)         =       7.29
corr(u_i, Xb)  = -0.6676                        Prob > F          =     0.0000

                                                     (Std. Err. adjusted for 152 clusters in countryid)
-------------------------------------------------------------------------------------------------------
                                      |               Robust
                             lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------------------------+----------------------------------------------------------------
                      votedallwithUSA |   1.064529    .364891     2.92   0.004     .3435774     1.78548
                       past_aid_dummy |   .4773383    .139232     3.43   0.001     .2022438    .7524328
                                      |
   c.votedallwithUSA#c.past_aid_dummy |  -.7887726   .4061593    -1.94   0.054    -1.591262    .0137165
                                      |
                   votednotallwithUSA |   .6384018   .3366611     1.90   0.060    -.0267728    1.303576
                       past_aid_dummy |          0  (omitted)
                                      |
c.votednotallwithUSA#c.past_aid_dummy |  -.6172879   .3779357    -1.63   0.104    -1.364013    .1294371
                                      |
                       l_lngdppcconst |  -.4319411   .2198487    -1.96   0.051    -.8663179    .0024357
                                lnpop |  -.3946533   .5483092    -0.72   0.473    -1.478002    .6886953
                              yearFE1 |          0  (omitted)
                              yearFE2 |          0  (omitted)
                              yearFE3 |          0  (omitted)
                              yearFE4 |          0  (omitted)
                              yearFE5 |          0  (omitted)
                              yearFE6 |          0  (omitted)
                              yearFE7 |          0  (omitted)
                              yearFE8 |          0  (omitted)
                              yearFE9 |          0  (omitted)
                             yearFE10 |          0  (omitted)
                             yearFE11 |          0  (omitted)
                             yearFE12 |          0  (omitted)
                             yearFE13 |          0  (omitted)
                             yearFE14 |          0  (omitted)
                             yearFE15 |          0  (omitted)
                             yearFE16 |          0  (omitted)
                             yearFE17 |          0  (omitted)
                             yearFE18 |          0  (omitted)
                             yearFE19 |          0  (omitted)
                             yearFE20 |          0  (omitted)
                             yearFE21 |          0  (omitted)
                             yearFE22 |          0  (omitted)
                             yearFE23 |  -3.332882   .6806533    -4.90   0.000    -4.677716   -1.988048
                             yearFE24 |   -3.00995   .6766204    -4.45   0.000    -4.346816   -1.673084
                             yearFE25 |  -2.695041   .6625519    -4.07   0.000     -4.00411   -1.385972
                             yearFE26 |  -2.692627   .6450939    -4.17   0.000    -3.967202   -1.418051
                             yearFE27 |  -2.476596   .6393504    -3.87   0.000    -3.739823   -1.213368
                             yearFE28 |  -1.994816   .6206221    -3.21   0.002     -3.22104   -.7685912
                             yearFE29 |  -1.896464    .595898    -3.18   0.002    -3.073839   -.7190899
                             yearFE30 |  -1.691221   .5746991    -2.94   0.004    -2.826711   -.5557309
                             yearFE31 |  -1.480898   .5526528    -2.68   0.008    -2.572829    -.388967
                             yearFE32 |  -1.566683   .5252565    -2.98   0.003    -2.604484   -.5288819
                             yearFE33 |  -1.351298    .533455    -2.53   0.012    -2.405298   -.2972983
                             yearFE34 |   -1.24279   .4976346    -2.50   0.014    -2.226016   -.2595642
                             yearFE35 |  -1.045423   .4785504    -2.18   0.030    -1.990943    -.099904
                             yearFE36 |  -1.173318   .4760017    -2.46   0.015    -2.113801   -.2328343
                             yearFE37 |  -1.378975    .482074    -2.86   0.005    -2.331456   -.4264934
                             yearFE38 |  -1.140618   .4556476    -2.50   0.013    -2.040886   -.2403503
                             yearFE39 |  -1.385299   .4576018    -3.03   0.003    -2.289428   -.4811694
                             yearFE40 |   -1.15208   .4307916    -2.67   0.008    -2.003237   -.3009225
                             yearFE41 |  -1.359923   .4285635    -3.17   0.002    -2.206678   -.5131678
                             yearFE42 |   -1.35216   .4192928    -3.22   0.002    -2.180598   -.5237214
                             yearFE43 |  -1.256373   .4208352    -2.99   0.003    -2.087858   -.4248871
                             yearFE44 |  -1.269005   .4111201    -3.09   0.002    -2.081295   -.4567138
                             yearFE45 |  -1.234018   .4189202    -2.95   0.004    -2.061721   -.4063163
                             yearFE46 |  -1.020991   .3905606    -2.61   0.010     -1.79266   -.2493216
                             yearFE47 |  -1.063755   .3750785    -2.84   0.005    -1.804835   -.3226753
                             yearFE48 |   -.837026   .3581908    -2.34   0.021    -1.544739    -.129313
                             yearFE49 |  -.9377398   .3319539    -2.82   0.005    -1.593614   -.2818657
                             yearFE50 |  -1.013703   .3328932    -3.05   0.003    -1.671433   -.3559728
                             yearFE51 |   -1.04151   .3159724    -3.30   0.001    -1.665808   -.4172123
                             yearFE52 |  -1.024791   .3136438    -3.27   0.001    -1.644488   -.4050935
                             yearFE53 |  -.8126837   .3079327    -2.64   0.009    -1.421097   -.2042705
                             yearFE54 |  -1.148827   .2931539    -3.92   0.000     -1.72804   -.5696141
                             yearFE55 |  -1.141669   .2932295    -3.89   0.000    -1.721031   -.5623064
                             yearFE56 |   -.892952   .2712266    -3.29   0.001    -1.428841   -.3570627
                             yearFE57 |  -1.059202   .2882236    -3.67   0.000    -1.628673   -.4897296
                             yearFE58 |  -1.050457   .2593942    -4.05   0.000    -1.562967   -.5379459
                             yearFE59 |   -.895603   .2391081    -3.75   0.000    -1.368032   -.4231735
                             yearFE60 |  -.9437139    .241664    -3.91   0.000    -1.421193   -.4662345
                             yearFE61 |  -.8885793   .2260962    -3.93   0.000      -1.3353   -.4418586
                             yearFE62 |  -.6766725   .2142233    -3.16   0.002    -1.099935   -.2534102
                             yearFE63 |  -.4165148   .2036425    -2.05   0.043    -.8188714   -.0141581
                             yearFE64 |  -.2810005   .2217412    -1.27   0.207    -.7191166    .1571156
                             yearFE65 |  -.1539044   .2431851    -0.63   0.528    -.6343892    .3265804
                             yearFE66 |  -.2664027    .197309    -1.35   0.179    -.6562456    .1234401
                             yearFE67 |  -.4869162   .2035673    -2.39   0.018    -.8891241   -.0847082
                             yearFE68 |  -.4167886   .1904911    -2.19   0.030    -.7931607   -.0404166
                             yearFE69 |   .2370458   .2110031     1.12   0.263    -.1798539    .6539455
                             yearFE70 |          0  (omitted)
                                _cons |   12.70269   9.599829     1.32   0.188    -6.264644    31.67002
--------------------------------------+----------------------------------------------------------------
                              sigma_u |  2.3171198
                              sigma_e |  1.6176863
                                  rho |  .67231099   (fraction of variance due to u_i)
-------------------------------------------------------------------------------------------------------

.                         est store aidrec2wb

.                                 estadd local "Dependent" WB loans

added macro:
          e(Dependent) : "WB loans"

.                                 estadd local "Votes" all

added macro:
              e(Votes) : "all"

.                                 estadd local "Controls" yes

added macro:
           e(Controls) : "yes"

.                 xtreg lnWBlend                          c.votedallwithUSA_higoo_nor##c.past_aid_dummy  c.votednotallwithUSA_hi
> goo_nor##c.past_aid_dummy         l_lngdppcconst lnpop             yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: past_aid_dummy omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,648
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1013                                         min =          6
     between = 0.2243                                         avg =       37.2
     overall = 0.0464                                         max =         48

                                                F(54,151)         =       7.31
corr(u_i, Xb)  = -0.6671                        Prob > F          =     0.0000

                                                               (Std. Err. adjusted for 152 clusters in countryid)
-----------------------------------------------------------------------------------------------------------------
                                                |               Robust
                                       lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------------------------------------+----------------------------------------------------------------
                      votedallwithUSA_higoo_nor |   1.068655   .3506256     3.05   0.003     .3758895    1.761421
                                 past_aid_dummy |   .4777488   .1392627     3.43   0.001     .2025937     .752904
                                                |
   c.votedallwithUSA_higoo_nor#c.past_aid_dummy |   -.792905    .392693    -2.02   0.045    -1.568787   -.0170225
                                                |
                   votednotallwithUSA_higoo_nor |   .6240623   .3446561     1.81   0.072    -.0569089    1.305033
                                 past_aid_dummy |          0  (omitted)
                                                |
c.votednotallwithUSA_higoo_nor#c.past_aid_dummy |   -.603153   .3854608    -1.56   0.120    -1.364746    .1584401
                                                |
                                 l_lngdppcconst |   -.431943    .219833    -1.96   0.051    -.8662888    .0024027
                                          lnpop |  -.3942038   .5482939    -0.72   0.473    -1.477522    .6891147
                                        yearFE1 |          0  (omitted)
                                        yearFE2 |          0  (omitted)
                                        yearFE3 |          0  (omitted)
                                        yearFE4 |          0  (omitted)
                                        yearFE5 |          0  (omitted)
                                        yearFE6 |          0  (omitted)
                                        yearFE7 |          0  (omitted)
                                        yearFE8 |          0  (omitted)
                                        yearFE9 |          0  (omitted)
                                       yearFE10 |          0  (omitted)
                                       yearFE11 |          0  (omitted)
                                       yearFE12 |          0  (omitted)
                                       yearFE13 |          0  (omitted)
                                       yearFE14 |          0  (omitted)
                                       yearFE15 |          0  (omitted)
                                       yearFE16 |          0  (omitted)
                                       yearFE17 |          0  (omitted)
                                       yearFE18 |          0  (omitted)
                                       yearFE19 |          0  (omitted)
                                       yearFE20 |          0  (omitted)
                                       yearFE21 |          0  (omitted)
                                       yearFE22 |          0  (omitted)
                                       yearFE23 |  -3.332342    .680642    -4.90   0.000    -4.677154    -1.98753
                                       yearFE24 |   -3.00943   .6766237    -4.45   0.000    -4.346303   -1.672558
                                       yearFE25 |  -2.694522   .6625591    -4.07   0.000    -4.003605   -1.385438
                                       yearFE26 |  -2.692135   .6450839    -4.17   0.000    -3.966691   -1.417579
                                       yearFE27 |  -2.476107   .6393883    -3.87   0.000     -3.73941   -1.212804
                                       yearFE28 |  -1.994326   .6206288    -3.21   0.002    -3.220563   -.7680879
                                       yearFE29 |   -1.89579   .5959279    -3.18   0.002    -3.073224   -.7183561
                                       yearFE30 |  -1.690554    .574729    -2.94   0.004    -2.826103   -.5550054
                                       yearFE31 |  -1.480408   .5526423    -2.68   0.008    -2.572318   -.3884981
                                       yearFE32 |  -1.566215   .5252472    -2.98   0.003    -2.603998   -.5284325
                                       yearFE33 |  -1.350936   .5334399    -2.53   0.012    -2.404906   -.2969661
                                       yearFE34 |  -1.242438   .4976259    -2.50   0.014    -2.225647    -.259229
                                       yearFE35 |  -1.044859   .4785651    -2.18   0.031    -1.990407   -.0993102
                                       yearFE36 |  -1.172895   .4759924    -2.46   0.015     -2.11336     -.23243
                                       yearFE37 |  -1.378562   .4820823    -2.86   0.005     -2.33106   -.4260643
                                       yearFE38 |  -1.140221   .4556392    -2.50   0.013    -2.040473     -.23997
                                       yearFE39 |  -1.384774    .457611    -3.03   0.003    -2.288922   -.4806268
                                       yearFE40 |  -1.151566   .4308061    -2.67   0.008    -2.002752   -.3003793
                                       yearFE41 |   -1.35917   .4285978    -3.17   0.002    -2.205993   -.5123467
                                       yearFE42 |  -1.351437   .4192579    -3.22   0.002    -2.179806   -.5230676
                                       yearFE43 |  -1.255799   .4208693    -2.98   0.003    -2.087352   -.4242459
                                       yearFE44 |  -1.268324   .4111675    -3.08   0.002    -2.080708     -.45594
                                       yearFE45 |  -1.233352   .4189514    -2.94   0.004    -2.061116   -.4055885
                                       yearFE46 |  -1.020632   .3905956    -2.61   0.010    -1.792371   -.2488938
                                       yearFE47 |   -1.06351   .3750634    -2.84   0.005     -1.80456   -.3224596
                                       yearFE48 |  -.8367943   .3581935    -2.34   0.021    -1.544513    -.129076
                                       yearFE49 |  -.9375608   .3319401    -2.82   0.005    -1.593408    -.281714
                                       yearFE50 |  -1.013274    .332893    -3.04   0.003    -1.671004   -.3555444
                                       yearFE51 |  -1.041015   .3159599    -3.29   0.001    -1.665289   -.4167421
                                       yearFE52 |  -1.024296   .3136635    -3.27   0.001    -1.644032   -.4045602
                                       yearFE53 |  -.8125551   .3079261    -2.64   0.009    -1.420955    -.204155
                                       yearFE54 |   -1.14873   .2931615    -3.92   0.000    -1.727958   -.5695021
                                       yearFE55 |    -1.1416    .293253    -3.89   0.000    -1.721009   -.5621905
                                       yearFE56 |  -.8924129   .2712726    -3.29   0.001    -1.428393   -.3564327
                                       yearFE57 |     -1.059   .2882539    -3.67   0.000    -1.628532   -.4894683
                                       yearFE58 |  -1.050268   .2593757    -4.05   0.000    -1.562742   -.5377937
                                       yearFE59 |  -.8953187   .2391495    -3.74   0.000     -1.36783   -.4228074
                                       yearFE60 |  -.9436813   .2416878    -3.90   0.000    -1.421208   -.4661548
                                       yearFE61 |  -.8884811   .2260967    -3.93   0.000    -1.335203   -.4417595
                                       yearFE62 |  -.6766031   .2142323    -3.16   0.002    -1.099883   -.2533232
                                       yearFE63 |  -.4164772   .2036701    -2.04   0.043    -.8188884    -.014066
                                       yearFE64 |  -.2841679   .2214976    -1.28   0.201    -.7218027    .1534669
                                       yearFE65 |  -.1537587   .2432021    -0.63   0.528    -.6342771    .3267598
                                       yearFE66 |  -.2663583   .1973154    -1.35   0.179    -.6562138    .1234972
                                       yearFE67 |  -.4868937   .2035753    -2.39   0.018    -.8891174   -.0846699
                                       yearFE68 |  -.4167769   .1904958    -2.19   0.030    -.7931584   -.0403954
                                       yearFE69 |   .2370467   .2110039     1.12   0.263    -.1798545     .653948
                                       yearFE70 |          0  (omitted)
                                          _cons |   12.69522   9.599644     1.32   0.188    -6.271748    31.66218
------------------------------------------------+----------------------------------------------------------------
                                        sigma_u |   2.316205
                                        sigma_e |  1.6176712
                                            rho |  .67214111   (fraction of variance due to u_i)
-----------------------------------------------------------------------------------------------------------------

.                         est store aidrec3wb

.                                 estadd local "Dependent" WB loans

added macro:
          e(Dependent) : "WB loans"

.                                 estadd local "Votes" important

added macro:
              e(Votes) : "important"

.                                 estadd local "Controls" yes

added macro:
           e(Controls) : "yes"

.                                 
.                         
.         estout aidrec* using "tables/TableA4.xls", title(" ") ///
>                                          replace delimiter(_tab) label noabbrev style(tab) collabels(none) ///
>                                          drop(_cons l_lngdppcconst lnpop pastIMF) indicate("Country FE and Year FE" = yearFE*)
>   ///
>                                          order(unsc c.unsc#c.past_aid_dummy votedallwithUSA c.votedallwithUSA#c.past_aid_dummy
>  votednotallwithUSA c.votednotallwithUSA#c.past_aid_dummy votedallwithUSA_higoo_nor c.votedallwithUSA_higoo_nor#c.past_aid_dum
> my votednotallwithUSA_higoo_nor c.votednotallwithUSA_higoo_nor#c.past_aid_dummy) ///
>                                          cells(b(star fmt(3)) se(par([ ]) abs fmt(3))) starlevels(* 0.1 ** 0.05 *** 0.01) ///
>                                          stats(Controls N r2 Votes Dependent, fmt(0 0 3 0) label("Control Variables" "Observat
> ions" "R-squared" "Votes" "Dependent Variable"))  ///
>                                          mlabels("[1]" "[2]" "[3]" "[4]" "[5]" "[6]" "[7]" "[8]" "[9]" "[10]" "[11]" "[12]") /
> //
>                                          note("Notes: Standard errors clustered on the country-level are in brackets. Signific
> ance levels: * p < 0.1; ** p < 0.05; *** p < 0.01")
(output written to tables/TableA4.xls)

. 
. 
.         
. *Table A5:
. 
. use "regressiondata.dta", clear

. 
. 
. 
.         xtset countryid year
       panel variable:  countryid (strongly balanced)
        time variable:  year, 1946 to 2015
                delta:  1 unit

.         sort countryid year

. 
.         cap est drop tab2*

.         
. 
.         
.         *COLUMN 1:
.          xtreg lnODAnetdis_USA     unsc unscXpastunga past_unga                                         l_lngdppcconst lnpop y
> earFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,155
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1700                                         min =          5
     between = 0.3241                                         avg =       33.9
     overall = 0.2500                                         max =         51

                                                F(55,151)         =       7.04
corr(u_i, Xb)  = -0.8894                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
lnODAnetdis_~A |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
          unsc |  -.4075991   .1956329    -2.08   0.039    -.7941304   -.0210679
 unscXpastunga |    2.09224   .7177073     2.92   0.004     .6741947    3.510285
  past_ungaUSA |   3.059497    .994429     3.08   0.002     1.094706    5.024289
l_lngdppcconst |   -.787943   .1822576    -4.32   0.000    -1.148047   -.4278387
         lnpop |   1.688092   .5154616     3.27   0.001     .6696439    2.706541
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |    .235781   .8576409     0.27   0.784    -1.458745    1.930307
      yearFE17 |   .5051808   .7903164     0.64   0.524    -1.056326    2.066687
      yearFE18 |   .4393575   .7889746     0.56   0.578    -1.119498    1.998213
      yearFE19 |   .2287864   .7657885     0.30   0.766    -1.284258     1.74183
      yearFE20 |   .4187224   .7567007     0.55   0.581    -1.076366    1.913811
      yearFE21 |          0  (omitted)
      yearFE22 |          0  (omitted)
      yearFE23 |          0  (omitted)
      yearFE24 |          0  (omitted)
      yearFE25 |  -.2330035   .6433406    -0.36   0.718    -1.504115    1.038108
      yearFE26 |  -.2464516    .614764    -0.40   0.689    -1.461102    .9681983
      yearFE27 |  -.3735031   .6036818    -0.62   0.537    -1.566257    .8192507
      yearFE28 |  -.7089618   .5896772    -1.20   0.231    -1.874045    .4561217
      yearFE29 |  -.7099796    .564854    -1.26   0.211    -1.826017    .4060583
      yearFE30 |  -.5551431    .561562    -0.99   0.324    -1.664677    .5543905
      yearFE31 |  -.5744339   .5325433    -1.08   0.282    -1.626633    .4777646
      yearFE32 |  -.4498257    .514003    -0.88   0.383    -1.465392    .5657409
      yearFE33 |  -.3846877   .4843467    -0.79   0.428    -1.341659     .572284
      yearFE34 |   -.322709   .4767606    -0.68   0.500    -1.264692     .619274
      yearFE35 |  -.4205711   .4720771    -0.89   0.374      -1.3533    .5121582
      yearFE36 |  -.4428139   .4625058    -0.96   0.340    -1.356632    .4710046
      yearFE37 |  -.4647494    .456539    -1.02   0.310    -1.366779    .4372799
      yearFE38 |  -.2532906   .4310924    -0.59   0.558    -1.105043    .5984613
      yearFE39 |  -.0339907   .4205269    -0.08   0.936    -.8648673     .796886
      yearFE40 |   .1198076   .4162623     0.29   0.774    -.7026429    .9422582
      yearFE41 |   .1391385   .3956263     0.35   0.726    -.6425395    .9208164
      yearFE42 |   .0363582    .378641     0.10   0.924    -.7117602    .7844766
      yearFE43 |  -.0605814   .3681622    -0.16   0.870    -.7879958     .666833
      yearFE44 |  -.1889128   .3578515    -0.53   0.598    -.8959554    .5181298
      yearFE45 |  -.1485982   .3625242    -0.41   0.682    -.8648731    .5676766
      yearFE46 |  -.0058081   .3573593    -0.02   0.987    -.7118783     .700262
      yearFE47 |  -.2132515    .329427    -0.65   0.518     -.864133      .43763
      yearFE48 |  -.2917891   .3209289    -0.91   0.365    -.9258801    .3423019
      yearFE49 |  -.4864371   .3327594    -1.46   0.146    -1.143903    .1710285
      yearFE50 |  -.7475614   .3106518    -2.41   0.017    -1.361347    -.133776
      yearFE51 |  -1.143451   .2788119    -4.10   0.000    -1.694327   -.5925746
      yearFE52 |  -1.199492    .260519    -4.60   0.000    -1.714225   -.6847591
      yearFE53 |  -1.293767   .2480491    -5.22   0.000    -1.783862    -.803672
      yearFE54 |   -1.04587   .2342412    -4.46   0.000    -1.508684    -.583057
      yearFE55 |  -.9521513   .2188622    -4.35   0.000    -1.384579   -.5197237
      yearFE56 |  -.8254755   .2107362    -3.92   0.000    -1.241848   -.4091032
      yearFE57 |  -.5104875   .2015969    -2.53   0.012    -.9088024   -.1121727
      yearFE58 |  -.4369912   .1959996    -2.23   0.027    -.8242471   -.0497353
      yearFE59 |   -.380671    .183848    -2.07   0.040    -.7439177   -.0174242
      yearFE60 |  -.1724309    .163333    -1.06   0.293    -.4951442    .1502823
      yearFE61 |  -.0148672   .1519372    -0.10   0.922    -.3150645    .2853301
      yearFE62 |   -.018235   .1424917    -0.13   0.898    -.2997699    .2632998
      yearFE63 |   .2059874   .1414339     1.46   0.147    -.0734575    .4854324
      yearFE64 |    .373964   .1474163     2.54   0.012      .082699    .6652291
      yearFE65 |   .3828518   .1444138     2.65   0.009     .0975192    .6681844
      yearFE66 |   .3654532   .1250659     2.92   0.004     .1183482    .6125582
      yearFE67 |   .3210918   .0992557     3.23   0.001     .1249824    .5172012
      yearFE68 |   .2955252   .0846807     3.49   0.001     .1282132    .4628371
      yearFE69 |   .0765834   .0479653     1.60   0.112    -.0181864    .1713532
      yearFE70 |          0  (omitted)
         _cons |  -18.07897   8.708675    -2.08   0.040    -35.28556   -.8723797
---------------+----------------------------------------------------------------
       sigma_u |   3.043288
       sigma_e |  1.2052805
           rho |  .86441478   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

.                         est store tab2a1

.                         estadd local "Dependent" US aid 

added macro:
          e(Dependent) : "US aid"

.                         estadd local "Votes" -

added macro:
              e(Votes) : "-"

.                         
.         *COLUMN 2
.         xtreg lnODAnetdis_USA   votedallwithUSA  votednotallwithUSA unscall_pastunga unscnotallXpastunga past_unga            
>   l_lngdppcconst lnpop   yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,155
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1701                                         min =          5
     between = 0.3243                                         avg =       33.9
     overall = 0.2501                                         max =         51

                                                F(57,151)         =       6.86
corr(u_i, Xb)  = -0.8891                        Prob > F          =     0.0000

                                   (Std. Err. adjusted for 152 clusters in countryid)
-------------------------------------------------------------------------------------
                    |               Robust
    lnODAnetdis_USA |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
    votedallwithUSA |  -.3584897   .2524181    -1.42   0.158    -.8572171    .1402378
 votednotallwithUSA |  -.4364225   .3221404    -1.35   0.178    -1.072907    .2000622
   unscall_pastunga |   2.045134   .9360298     2.18   0.030     .1957272     3.89454
unscnotallXpastunga |   2.087536   1.291936     1.62   0.108    -.4650694    4.640141
       past_ungaUSA |   3.056279   .9983166     3.06   0.003     1.083806    5.028752
     l_lngdppcconst |  -.7887233   .1825215    -4.32   0.000    -1.149349   -.4280975
              lnpop |   1.685314   .5148033     3.27   0.001     .6681667    2.702462
            yearFE1 |          0  (omitted)
            yearFE2 |          0  (omitted)
            yearFE3 |          0  (omitted)
            yearFE4 |          0  (omitted)
            yearFE5 |          0  (omitted)
            yearFE6 |          0  (omitted)
            yearFE7 |          0  (omitted)
            yearFE8 |          0  (omitted)
            yearFE9 |          0  (omitted)
           yearFE10 |          0  (omitted)
           yearFE11 |          0  (omitted)
           yearFE12 |          0  (omitted)
           yearFE13 |          0  (omitted)
           yearFE14 |          0  (omitted)
           yearFE15 |          0  (omitted)
           yearFE16 |   .2349071   .8570252     0.27   0.784    -1.458402    1.928216
           yearFE17 |   .5022609   .7897551     0.64   0.526    -1.058136    2.062658
           yearFE18 |   .4370278   .7883473     0.55   0.580    -1.120588    1.994644
           yearFE19 |   .2270877   .7656044     0.30   0.767    -1.285593    1.739768
           yearFE20 |   .4165495   .7559664     0.55   0.582    -1.077088    1.910187
           yearFE21 |          0  (omitted)
           yearFE22 |          0  (omitted)
           yearFE23 |          0  (omitted)
           yearFE24 |          0  (omitted)
           yearFE25 |  -.2320424   .6441011    -0.36   0.719    -1.504657    1.040572
           yearFE26 |  -.2483694    .614415    -0.40   0.687     -1.46233     .965591
           yearFE27 |  -.3726581   .6048073    -0.62   0.539    -1.567636    .8223194
           yearFE28 |  -.7063811   .5924256    -1.19   0.235    -1.876895    .4641327
           yearFE29 |  -.7076381   .5662896    -1.25   0.213    -1.826512    .4112362
           yearFE30 |  -.5529156   .5635713    -0.98   0.328    -1.666419     .560588
           yearFE31 |  -.5727087   .5331225    -1.07   0.284    -1.626052    .4806342
           yearFE32 |  -.4473479   .5147922    -0.87   0.386    -1.464474     .569778
           yearFE33 |  -.3876023   .4837881    -0.80   0.424     -1.34347    .5682657
           yearFE34 |  -.3257438   .4758861    -0.68   0.495    -1.265999    .6145115
           yearFE35 |  -.4179992   .4734224    -0.88   0.379    -1.353387    .5173882
           yearFE36 |   -.440708   .4632209    -0.95   0.343    -1.355939    .4745234
           yearFE37 |  -.4626263   .4574858    -1.01   0.314    -1.366526    .4412738
           yearFE38 |  -.2513543   .4314603    -0.58   0.561    -1.103833    .6011245
           yearFE39 |   -.031517   .4209427    -0.07   0.940    -.8632152    .8001812
           yearFE40 |   .1221686    .417185     0.29   0.770     -.702105    .9464422
           yearFE41 |   .1413115   .3967001     0.36   0.722    -.6424881    .9251112
           yearFE42 |   .0382259   .3800338     0.10   0.920    -.7126445    .7890963
           yearFE43 |  -.0586658   .3692681    -0.16   0.874    -.7882652    .6709337
           yearFE44 |  -.1867088   .3594386    -0.52   0.604    -.8968871    .5234696
           yearFE45 |  -.1466081    .363984    -0.40   0.688    -.8657672     .572551
           yearFE46 |  -.0065992   .3576125    -0.02   0.985    -.7131695    .6999711
           yearFE47 |  -.2154953   .3293928    -0.65   0.514    -.8663094    .4353187
           yearFE48 |  -.2939194   .3209046    -0.92   0.361    -.9279624    .3401236
           yearFE49 |  -.4864873   .3328299    -1.46   0.146    -1.144092    .1711177
           yearFE50 |  -.7449357   .3108999    -2.40   0.018    -1.359211   -.1306601
           yearFE51 |  -1.140748   .2791413    -4.09   0.000    -1.692275   -.5892211
           yearFE52 |  -1.196871    .260875    -4.59   0.000    -1.712307   -.6814341
           yearFE53 |  -1.294449   .2481795    -5.22   0.000    -1.784802   -.8040962
           yearFE54 |  -1.046229   .2343481    -4.46   0.000    -1.509253   -.5832038
           yearFE55 |    -.95254   .2190092    -4.35   0.000    -1.385258   -.5198218
           yearFE56 |  -.8224555   .2113788    -3.89   0.000    -1.240097   -.4048136
           yearFE57 |  -.5082266   .2023661    -2.51   0.013    -.9080613   -.1083919
           yearFE58 |  -.4344952   .1966548    -2.21   0.029    -.8230455    -.045945
           yearFE59 |  -.3779184   .1845975    -2.05   0.042     -.742646   -.0131908
           yearFE60 |  -.1733203   .1634549    -1.06   0.291    -.4962743    .1496338
           yearFE61 |  -.0124072   .1532028    -0.08   0.936    -.3151052    .2902907
           yearFE62 |  -.0184181   .1427491    -0.13   0.898    -.3004615    .2636253
           yearFE63 |   .2063703   .1421552     1.45   0.149    -.0744998    .4872403
           yearFE64 |   .3737875   .1477288     2.53   0.012      .081905      .66567
           yearFE65 |    .382704   .1446933     2.64   0.009     .0968192    .6685888
           yearFE66 |   .3686466   .1261918     2.92   0.004      .119317    .6179762
           yearFE67 |    .319852   .0993292     3.22   0.002     .1235975    .5161066
           yearFE68 |   .2949023   .0846131     3.49   0.001     .1277239    .4620806
           yearFE69 |   .0765034   .0479008     1.60   0.112    -.0181389    .1711457
           yearFE70 |          0  (omitted)
              _cons |  -18.02987   8.696599    -2.07   0.040     -35.2126   -.8471387
--------------------+----------------------------------------------------------------
            sigma_u |  3.0384169
            sigma_e |  1.2054958
                rho |  .86399688   (fraction of variance due to u_i)
-------------------------------------------------------------------------------------

.                         est store tab2a2

.                         estadd local "Dependent" US aid 

added macro:
          e(Dependent) : "US aid"

.                         estadd local "Votes" all

added macro:
              e(Votes) : "all"

.         
.         *COLUMN 3
.         xtreg lnODAnetdis_USA   votedallwithUSA_higoo_nor  votednotallwithUSA_higoo_nor unscallimp_pastunga unscnotallimpXpast
> unga past_unga    l_lngdppcconst lnpop  yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid)
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,155
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1700                                         min =          5
     between = 0.3242                                         avg =       33.9
     overall = 0.2500                                         max =         51

                                                F(57,151)         =       6.87
corr(u_i, Xb)  = -0.8893                        Prob > F          =     0.0000

                                            (Std. Err. adjusted for 152 clusters in countryid)
----------------------------------------------------------------------------------------------
                             |               Robust
             lnODAnetdis_USA |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------------+----------------------------------------------------------------
   votedallwithUSA_higoo_nor |  -.3825232   .2549818    -1.50   0.136    -.8863159    .1212695
votednotallwithUSA_higoo_nor |  -.4413577   .3198445    -1.38   0.170    -1.073306    .1905907
         unscallimp_pastunga |   2.037311   .9385529     2.17   0.032     .1829195    3.891703
      unscnotallimpXpastunga |   2.210077   1.257471     1.76   0.081    -.2744325    4.694586
                past_ungaUSA |   3.060594   .9978857     3.07   0.003     1.088972    5.032215
              l_lngdppcconst |  -.7880685   .1823582    -4.32   0.000    -1.148372   -.4277654
                       lnpop |   1.687166   .5150486     3.28   0.001     .6695337    2.704799
                     yearFE1 |          0  (omitted)
                     yearFE2 |          0  (omitted)
                     yearFE3 |          0  (omitted)
                     yearFE4 |          0  (omitted)
                     yearFE5 |          0  (omitted)
                     yearFE6 |          0  (omitted)
                     yearFE7 |          0  (omitted)
                     yearFE8 |          0  (omitted)
                     yearFE9 |          0  (omitted)
                    yearFE10 |          0  (omitted)
                    yearFE11 |          0  (omitted)
                    yearFE12 |          0  (omitted)
                    yearFE13 |          0  (omitted)
                    yearFE14 |          0  (omitted)
                    yearFE15 |          0  (omitted)
                    yearFE16 |   .2369124   .8573659     0.28   0.783     -1.45707    1.930895
                    yearFE17 |   .5041936   .7900064     0.64   0.524      -1.0567    2.065087
                    yearFE18 |   .4389685   .7884893     0.56   0.579    -1.118928    1.996865
                    yearFE19 |   .2284767   .7656395     0.30   0.766    -1.284273    1.741226
                    yearFE20 |   .4184734   .7561161     0.55   0.581     -1.07546    1.912407
                    yearFE21 |          0  (omitted)
                    yearFE22 |          0  (omitted)
                    yearFE23 |          0  (omitted)
                    yearFE24 |          0  (omitted)
                    yearFE25 |  -.2328921   .6439527    -0.36   0.718    -1.505213    1.039429
                    yearFE26 |  -.2470138    .614491    -0.40   0.688    -1.461124    .9670967
                    yearFE27 |  -.3740195   .6045993    -0.62   0.537    -1.568586     .820547
                    yearFE28 |  -.7101049   .5919821    -1.20   0.232    -1.879743    .4595327
                    yearFE29 |  -.7106035   .5659491    -1.26   0.211    -1.828805     .407598
                    yearFE30 |  -.5559476   .5634517    -0.99   0.325    -1.669215    .5573195
                    yearFE31 |  -.5751105   .5331828    -1.08   0.282    -1.628573    .4783516
                    yearFE32 |  -.4500431   .5148623    -0.87   0.383    -1.467308    .5672213
                    yearFE33 |  -.3856236   .4837479    -0.80   0.427    -1.341412     .570165
                    yearFE34 |  -.3236044   .4762759    -0.68   0.498     -1.26463    .6174211
                    yearFE35 |  -.4208928   .4729226    -0.89   0.375    -1.355293     .513507
                    yearFE36 |   -.443007   .4630961    -0.96   0.340    -1.357992    .4719777
                    yearFE37 |  -.4649391    .457257    -1.02   0.311    -1.368387    .4385088
                    yearFE38 |  -.2530863   .4314543    -0.59   0.558    -1.105553    .5993806
                    yearFE39 |  -.0330418   .4209243    -0.08   0.938    -.8647037      .79862
                    yearFE40 |   .1210586    .417211     0.29   0.772    -.7032663    .9453836
                    yearFE41 |   .1407549   .3967574     0.35   0.723    -.6431579    .9246677
                    yearFE42 |    .037812   .3800816     0.10   0.921    -.7131529    .7887769
                    yearFE43 |  -.0591438   .3693309    -0.16   0.873    -.7888674    .6705799
                    yearFE44 |  -.1872311   .3595503    -0.52   0.603    -.8976301    .5231679
                    yearFE45 |  -.1471524   .3640951    -0.40   0.687     -.866531    .5722263
                    yearFE46 |   -.005537   .3577046    -0.02   0.988    -.7122895    .7012154
                    yearFE47 |  -.2139675   .3292433    -0.65   0.517    -.8644861    .4365511
                    yearFE48 |  -.2924377   .3209371    -0.91   0.364    -.9265449    .3416696
                    yearFE49 |  -.4861133   .3328485    -1.46   0.146    -1.143755    .1715284
                    yearFE50 |  -.7461994    .310784    -2.40   0.018    -1.360246   -.1321528
                    yearFE51 |  -1.142591   .2791372    -4.09   0.000     -1.69411   -.5910723
                    yearFE52 |  -1.198927   .2609138    -4.60   0.000     -1.71444   -.6834138
                    yearFE53 |  -1.293898   .2480198    -5.22   0.000    -1.783935   -.8038606
                    yearFE54 |  -1.045958   .2342435    -4.47   0.000    -1.508776   -.5831401
                    yearFE55 |  -.9522564   .2188601    -4.35   0.000     -1.38468    -.519833
                    yearFE56 |  -.8246671   .2117054    -3.90   0.000    -1.242954   -.4063797
                    yearFE57 |  -.5096378   .2022379    -2.52   0.013    -.9092192   -.1100564
                    yearFE58 |  -.4359307   .1968202    -2.21   0.028    -.8248077   -.0470536
                    yearFE59 |  -.3793846   .1848153    -2.05   0.042    -.7445426   -.0142267
                    yearFE60 |  -.1726862   .1633018    -1.06   0.292    -.4953378    .1499654
                    yearFE61 |  -.0135602   .1534068    -0.09   0.930    -.3166613    .2895408
                    yearFE62 |  -.0181556    .142693    -0.13   0.899    -.3000883    .2637772
                    yearFE63 |   .2065625   .1420612     1.45   0.148    -.0741218    .4872468
                    yearFE64 |   .3739512   .1477261     2.53   0.012     .0820741    .6658284
                    yearFE65 |   .3829427   .1446143     2.65   0.009     .0972139    .6686715
                    yearFE66 |   .3674395   .1263779     2.91   0.004     .1177422    .6171369
                    yearFE67 |   .3205817   .0991087     3.23   0.001     .1247629    .5164004
                    yearFE68 |   .2953049   .0846162     3.49   0.001     .1281203    .4624895
                    yearFE69 |   .0765944   .0479372     1.60   0.112    -.0181198    .1713087
                    yearFE70 |          0  (omitted)
                       _cons |  -18.06415   8.699401    -2.08   0.040    -35.25242   -.8758837
-----------------------------+----------------------------------------------------------------
                     sigma_u |  3.0415477
                     sigma_e |  1.2055188
                         rho |  .86423426   (fraction of variance due to u_i)
----------------------------------------------------------------------------------------------

.                 est store tab2a3

.                         estadd local "Dependent" US aid

added macro:
          e(Dependent) : "US aid"

.                         estadd local "Votes" important

added macro:
              e(Votes) : "important"

. 
.                         
.         *COLUMN 4                
.         xtreg IMFcommitments_lny  past_unga unsc unscXpastunga                                                                
>                                                   l_lngdppcconst lnpop pastIMF yearFE*  if oda == 1  & p5 == 0 , fe cluster(co
> untryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,024
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1157                                         min =          5
     between = 0.0731                                         avg =       33.1
     overall = 0.0681                                         max =         50

                                                F(55,151)         =      11.06
corr(u_i, Xb)  = -0.4261                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
IMFcommitmen~y |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
  past_ungaUSA |  -.1305426   .5091092    -0.26   0.798     -1.13644    .8753548
          unsc |   .3400754   .2520606     1.35   0.179    -.1579457    .8380966
 unscXpastunga |  -1.222967   .7659544    -1.60   0.112    -2.736339    .2904052
l_lngdppcconst |   -.527982   .1692161    -3.12   0.002    -.8623189   -.1936451
         lnpop |  -.2092434   .4492396    -0.47   0.642    -1.096851    .6783638
       pastIMF |   1.524816   .1725837     8.84   0.000     1.183825    1.865807
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |  -.1005424   .6900179    -0.15   0.884    -1.463879    1.262794
      yearFE17 |  -.7258491   .6117967    -1.19   0.237    -1.934636    .4829382
      yearFE18 |  -.7156005   .6104231    -1.17   0.243    -1.921674    .4904728
      yearFE19 |   -.693702    .600317    -1.16   0.250    -1.879808    .4924036
      yearFE20 |  -.5728284   .6190431    -0.93   0.356    -1.795933    .6502762
      yearFE21 |          0  (omitted)
      yearFE22 |          0  (omitted)
      yearFE23 |          0  (omitted)
      yearFE24 |          0  (omitted)
      yearFE25 |   -.735465   .5135001    -1.43   0.154    -1.750038    .2791079
      yearFE26 |  -.8674964    .489111    -1.77   0.078    -1.833881    .0988886
      yearFE27 |   -.659793    .492784    -1.34   0.183    -1.633435     .313849
      yearFE28 |  -.7851789   .4974185    -1.58   0.117    -1.767978      .19762
      yearFE29 |   -.863782   .4968638    -1.74   0.084    -1.845485     .117921
      yearFE30 |  -.9521756   .4755695    -2.00   0.047    -1.891805   -.0125458
      yearFE31 |  -.6848596    .455856    -1.50   0.135    -1.585539    .2158203
      yearFE32 |  -.3652459   .4280172    -0.85   0.395    -1.210922      .48043
      yearFE33 |  -.4541438   .4424056    -1.03   0.306    -1.328248    .4199606
      yearFE34 |  -.1509004   .4371428    -0.35   0.730    -1.014607    .7128059
      yearFE35 |   .1908771   .4477621     0.43   0.671    -.6938108    1.075565
      yearFE36 |   .3060871   .4447442     0.69   0.492     -.572638    1.184812
      yearFE37 |  -.0587284   .4079999    -0.14   0.886    -.8648541    .7473972
      yearFE38 |   .6066102   .3797309     1.60   0.112    -.1436616    1.356882
      yearFE39 |   .0942154   .3549488     0.27   0.791     -.607092    .7955227
      yearFE40 |   .0577302   .3836381     0.15   0.881    -.7002616     .815722
      yearFE41 |  -.0487756   .3447871    -0.14   0.888    -.7300055    .6324543
      yearFE42 |   .1191358   .3239081     0.37   0.714    -.5208415    .7591132
      yearFE43 |   .1715061   .3512479     0.49   0.626    -.5224891    .8655013
      yearFE44 |   .5196268   .3462342     1.50   0.135    -.1644623    1.203716
      yearFE45 |   .1840241   .3172261     0.58   0.563    -.4427509    .8107991
      yearFE46 |   .3883394   .3082247     1.26   0.210    -.2206506    .9973293
      yearFE47 |   .3692434   .3092178     1.19   0.234    -.2417087    .9801955
      yearFE48 |  -.0503218   .3183712    -0.16   0.875    -.6793593    .5787156
      yearFE49 |   .3015607    .313434     0.96   0.338    -.3177218    .9208432
      yearFE50 |   .3489601    .287879     1.21   0.227     -.219831    .9177512
      yearFE51 |   .4589434   .2824436     1.62   0.106    -.0991084    1.016995
      yearFE52 |   .4475871   .3056371     1.46   0.145    -.1562903    1.051464
      yearFE53 |   .5066949   .2938765     1.72   0.087     -.073946    1.087336
      yearFE54 |   .5397757   .2858075     1.89   0.061    -.0249225    1.104474
      yearFE55 |   .4200798   .2775982     1.51   0.132    -.1283985    .9685581
      yearFE56 |   .4104821   .2881641     1.42   0.156    -.1588723    .9798365
      yearFE57 |   .1999927   .2922188     0.68   0.495    -.3773728    .7773582
      yearFE58 |   .3764002   .2820642     1.33   0.184     -.180902    .9337025
      yearFE59 |   .2007039   .2664615     0.75   0.452    -.3257705    .7271783
      yearFE60 |   -.077009   .2569417    -0.30   0.765     -.584674    .4306561
      yearFE61 |  -.2725601   .2400462    -1.14   0.258    -.7468431     .201723
      yearFE62 |  -.3940931   .2347196    -1.68   0.095    -.8578517    .0696656
      yearFE63 |  -.1737454   .2110773    -0.82   0.412    -.5907917    .2433009
      yearFE64 |   .3514649   .2514236     1.40   0.164    -.1452975    .8482274
      yearFE65 |   .2176549   .2018007     1.08   0.283    -.1810627    .6163724
      yearFE66 |   .1122305   .2132048     0.53   0.599    -.3090192    .5334803
      yearFE67 |  -.0518591    .192607    -0.27   0.788    -.4324119    .3286936
      yearFE68 |  -.1877895   .1340406    -1.40   0.163    -.4526266    .0770477
      yearFE69 |          0  (omitted)
      yearFE70 |          0  (omitted)
         _cons |   7.301964   7.506696     0.97   0.332    -7.529757    22.13369
---------------+----------------------------------------------------------------
       sigma_u |  1.0819986
       sigma_e |  1.7473222
           rho |  .27716876   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

.                         est store tab2b1

.                         estadd local "Dependent" IMF loans

added macro:
          e(Dependent) : "IMF loans"

.                         estadd local "Votes" -

added macro:
              e(Votes) : "-"

.                         
.         *COLUMN 5       
.         xtreg IMFcommitments_lny  votedallwithUSA  votednotallwithUSA unscall_pastunga unscnotallXpastunga past_unga    l_lngd
> ppcconst lnpop pastIMF  yearFE*  if oda == 1  & p5 == 0 , fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,024
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1186                                         min =          5
     between = 0.0572                                         avg =       33.1
     overall = 0.0637                                         max =         50

                                                F(57,151)         =      10.59
corr(u_i, Xb)  = -0.4442                        Prob > F          =     0.0000

                                   (Std. Err. adjusted for 152 clusters in countryid)
-------------------------------------------------------------------------------------
                    |               Robust
 IMFcommitments_lny |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
    votedallwithUSA |   .9097987   .3686186     2.47   0.015     .1814824    1.638115
 votednotallwithUSA |    .098188   .3018782     0.33   0.745    -.4982627    .6946387
   unscall_pastunga |  -1.669541   .9210693    -1.81   0.072    -3.489389    .1503063
unscnotallXpastunga |  -1.738093   1.249751    -1.39   0.166    -4.207349    .7311631
       past_ungaUSA |  -.1673227   .5149587    -0.32   0.746    -1.184778    .8501321
     l_lngdppcconst |  -.5372223   .1707501    -3.15   0.002    -.8745902   -.1998544
              lnpop |  -.2330935   .4500026    -0.52   0.605    -1.122208    .6560211
            pastIMF |   1.519343    .171667     8.85   0.000     1.180164    1.858523
            yearFE1 |          0  (omitted)
            yearFE2 |          0  (omitted)
            yearFE3 |          0  (omitted)
            yearFE4 |          0  (omitted)
            yearFE5 |          0  (omitted)
            yearFE6 |          0  (omitted)
            yearFE7 |          0  (omitted)
            yearFE8 |          0  (omitted)
            yearFE9 |          0  (omitted)
           yearFE10 |          0  (omitted)
           yearFE11 |          0  (omitted)
           yearFE12 |          0  (omitted)
           yearFE13 |          0  (omitted)
           yearFE14 |          0  (omitted)
           yearFE15 |          0  (omitted)
           yearFE16 |  -.1097558   .6871407    -0.16   0.873    -1.467408    1.247896
           yearFE17 |  -.7547846   .6117412    -1.23   0.219    -1.963462     .453893
           yearFE18 |  -.7388247   .6101446    -1.21   0.228    -1.944348    .4666984
           yearFE19 |  -.7089363   .5984028    -1.18   0.238     -1.89126    .4733873
           yearFE20 |  -.5945171   .6167448    -0.96   0.337    -1.813081    .6240467
           yearFE21 |          0  (omitted)
           yearFE22 |          0  (omitted)
           yearFE23 |          0  (omitted)
           yearFE24 |          0  (omitted)
           yearFE25 |   -.717448   .5127211    -1.40   0.164    -1.730482    .2955858
           yearFE26 |  -.8849063   .4927445    -1.80   0.075     -1.85847    .0886577
           yearFE27 |  -.6413259   .4900728    -1.31   0.193    -1.609611    .3269594
           yearFE28 |  -.7420984   .4969509    -1.49   0.137    -1.723973    .2397767
           yearFE29 |  -.8260491   .4974707    -1.66   0.099    -1.808951    .1568529
           yearFE30 |  -.9151132   .4782247    -1.91   0.058    -1.859989    .0297627
           yearFE31 |  -.6547399   .4599565    -1.42   0.157    -1.563521    .2540416
           yearFE32 |  -.3267895   .4319629    -0.76   0.451    -1.180261    .5266823
           yearFE33 |  -.4837017   .4424356    -1.09   0.276    -1.357865     .390462
           yearFE34 |  -.1823791    .437792    -0.42   0.678    -1.047368      .68261
           yearFE35 |   .2307284   .4454438     0.52   0.605    -.6493789    1.110836
           yearFE36 |    .339376   .4418892     0.77   0.444    -.5337082     1.21246
           yearFE37 |   -.025402   .4092694    -0.06   0.951     -.834036    .7832319
           yearFE38 |    .636101   .3811013     1.67   0.097    -.1168786    1.389081
           yearFE39 |   .1282881   .3574259     0.36   0.720    -.5779136    .8344897
           yearFE40 |   .0892666   .3859544     0.23   0.817    -.6733018    .8518349
           yearFE41 |  -.0211964   .3453007    -0.06   0.951    -.7034412    .6610484
           yearFE42 |   .1434779   .3248004     0.44   0.659    -.4982623    .7852181
           yearFE43 |   .1965156    .349462     0.56   0.575     -.493951    .8869821
           yearFE44 |   .5475771   .3463238     1.58   0.116     -.136689    1.231843
           yearFE45 |   .2100229   .3177243     0.66   0.510    -.4177365    .8377823
           yearFE46 |   .3817067    .308548     1.24   0.218    -.2279221    .9913356
           yearFE47 |   .3470101   .3085895     1.12   0.263    -.2627007     .956721
           yearFE48 |  -.0715032   .3194736    -0.22   0.823    -.7027188    .5597125
           yearFE49 |   .3038606   .3151131     0.96   0.336    -.3187395    .9264607
           yearFE50 |   .3824047    .288296     1.33   0.187    -.1872102    .9520196
           yearFE51 |   .4949582   .2844046     1.74   0.084    -.0669682    1.056885
           yearFE52 |   .4833794   .3059059     1.58   0.116     -.121029    1.087788
           yearFE53 |    .501173   .2942928     1.70   0.091    -.0802905    1.082637
           yearFE54 |   .5380336   .2862976     1.88   0.062    -.0276329      1.1037
           yearFE55 |    .417953   .2820075     1.48   0.140    -.1392372    .9751432
           yearFE56 |   .4498205   .2853768     1.58   0.117    -.1140267    1.013668
           yearFE57 |   .2292005    .292008     0.78   0.434    -.3477486    .8061497
           yearFE58 |   .4078691   .2807498     1.45   0.148    -.1468361    .9625743
           yearFE59 |   .2346037   .2651588     0.88   0.378    -.2892968    .7585041
           yearFE60 |  -.0853695   .2572667    -0.33   0.740    -.5936767    .4229377
           yearFE61 |  -.2423755   .2379515    -1.02   0.310    -.7125199    .2277688
           yearFE62 |  -.3943653    .233744    -1.69   0.094    -.8561964    .0674658
           yearFE63 |  -.1685828   .2098046    -0.80   0.423    -.5831145     .245949
           yearFE64 |   .3511395   .2515349     1.40   0.165    -.1458428    .8481218
           yearFE65 |   .2176337   .2008493     1.08   0.280    -.1792041    .6144715
           yearFE66 |    .148996   .2097447     0.71   0.479    -.2654173    .5634094
           yearFE67 |  -.0646464   .1938762    -0.33   0.739    -.4477068    .3184141
           yearFE68 |  -.1938704   .1337158    -1.45   0.149    -.4580659    .0703252
           yearFE69 |          0  (omitted)
           yearFE70 |          0  (omitted)
              _cons |   7.742485   7.528402     1.03   0.305    -7.132123    22.61709
--------------------+----------------------------------------------------------------
            sigma_u |  1.1086521
            sigma_e |  1.7448611
                rho |   .2876018   (fraction of variance due to u_i)
-------------------------------------------------------------------------------------

.                         est store tab2b2

.                         estadd local "Dependent" IMF loans 

added macro:
          e(Dependent) : "IMF loans"

.                         estadd local "Votes" all

added macro:
              e(Votes) : "all"

.                 
.         *COLUMN 6
.         xtreg IMFcommitments_lny  votedallwithUSA_higoo_nor  votednotallwithUSA_higoo_nor unscallimp_pastunga unscnotallimpXpa
> stunga past_unga  l_lngdppcconst lnpop pastIMF yearFE*  if oda == 1  & p5 == 0 , fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,024
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1183                                         min =          5
     between = 0.0587                                         avg =       33.1
     overall = 0.0641                                         max =         50

                                                F(57,151)         =      10.58
corr(u_i, Xb)  = -0.4427                        Prob > F          =     0.0000

                                            (Std. Err. adjusted for 152 clusters in countryid)
----------------------------------------------------------------------------------------------
                             |               Robust
          IMFcommitments_lny |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------------+----------------------------------------------------------------
   votedallwithUSA_higoo_nor |    .886125   .3659767     2.42   0.017     .1630285    1.609221
votednotallwithUSA_higoo_nor |   .0947228   .3011784     0.31   0.754    -.5003452    .6897908
         unscallimp_pastunga |  -1.673649   .9240116    -1.81   0.072     -3.49931    .1520125
      unscnotallimpXpastunga |  -1.653089   1.244392    -1.33   0.186    -4.111758    .8055794
                past_ungaUSA |  -.1662979   .5147652    -0.32   0.747     -1.18337    .8507746
              l_lngdppcconst |  -.5368589    .170744    -3.14   0.002    -.8742148    -.199503
                       lnpop |   -.231103   .4498339    -0.51   0.608    -1.119884    .6576784
                     pastIMF |    1.52016   .1716118     8.86   0.000     1.181089     1.85923
                     yearFE1 |          0  (omitted)
                     yearFE2 |          0  (omitted)
                     yearFE3 |          0  (omitted)
                     yearFE4 |          0  (omitted)
                     yearFE5 |          0  (omitted)
                     yearFE6 |          0  (omitted)
                     yearFE7 |          0  (omitted)
                     yearFE8 |          0  (omitted)
                     yearFE9 |          0  (omitted)
                    yearFE10 |          0  (omitted)
                    yearFE11 |          0  (omitted)
                    yearFE12 |          0  (omitted)
                    yearFE13 |          0  (omitted)
                    yearFE14 |          0  (omitted)
                    yearFE15 |          0  (omitted)
                    yearFE16 |  -.1055933   .6870484    -0.15   0.878    -1.463063    1.251876
                    yearFE17 |  -.7511728   .6115353    -1.23   0.221    -1.959444    .4570981
                    yearFE18 |  -.7352467   .6099553    -1.21   0.230    -1.940396    .4699022
                    yearFE19 |  -.7059181   .5983366    -1.18   0.240    -1.888111    .4762746
                    yearFE20 |  -.5910602   .6166682    -0.96   0.339    -1.809473    .6273523
                    yearFE21 |          0  (omitted)
                    yearFE22 |          0  (omitted)
                    yearFE23 |          0  (omitted)
                    yearFE24 |          0  (omitted)
                    yearFE25 |  -.7166432   .5127653    -1.40   0.164    -1.729764     .296478
                    yearFE26 |  -.8824445   .4923952    -1.79   0.075    -1.855318    .0904294
                    yearFE27 |  -.6410387   .4902391    -1.31   0.193    -1.609653    .3275752
                    yearFE28 |  -.7435313   .4971272    -1.50   0.137    -1.725755     .238692
                    yearFE29 |   -.826883   .4975321    -1.66   0.099    -1.809906    .1561403
                    yearFE30 |  -.9161588    .478141    -1.92   0.057    -1.860869    .0285517
                    yearFE31 |  -.6554322   .4598126    -1.43   0.156    -1.563929    .2530651
                    yearFE32 |  -.3278239   .4319698    -0.76   0.449    -1.181309    .5256616
                    yearFE33 |  -.4810908   .4427012    -1.09   0.279    -1.355779    .3935977
                    yearFE34 |  -.1796283    .438038    -0.41   0.682    -1.045103    .6858467
                    yearFE35 |   .2294811   .4454813     0.52   0.607    -.6507004    1.109663
                    yearFE36 |   .3383996   .4420334     0.77   0.445    -.5349695    1.211769
                    yearFE37 |  -.0264114   .4091604    -0.06   0.949    -.8348301    .7820073
                    yearFE38 |   .6354371   .3810573     1.67   0.097    -.1174554     1.38833
                    yearFE39 |   .1275603   .3572868     0.36   0.722    -.5783666    .8334872
                    yearFE40 |   .0887435    .385871     0.23   0.818      -.67366     .851147
                    yearFE41 |  -.0214127   .3453071    -0.06   0.951    -.7036702    .6608448
                    yearFE42 |   .1432943   .3247167     0.44   0.660    -.4982805    .7848692
                    yearFE43 |   .1962563   .3495121     0.56   0.575    -.4943093    .8868219
                    yearFE44 |    .547222   .3463111     1.58   0.116    -.1370191    1.231463
                    yearFE45 |   .2096215   .3176906     0.66   0.510    -.4180713    .8373142
                    yearFE46 |   .3826433   .3084268     1.24   0.217     -.226746    .9920326
                    yearFE47 |   .3483651   .3084782     1.13   0.261    -.2611258     .957856
                    yearFE48 |   -.070183   .3193871    -0.22   0.826    -.7012277    .5608617
                    yearFE49 |    .304255   .3150653     0.97   0.336    -.3182506    .9267605
                    yearFE50 |   .3814443   .2881093     1.32   0.188    -.1878018    .9506904
                    yearFE51 |   .4936191   .2844492     1.74   0.085    -.0683954    1.055634
                    yearFE52 |   .4818786   .3058688     1.58   0.117    -.1224566    1.086214
                    yearFE53 |   .5018625   .2942524     1.71   0.090    -.0795212    1.083246
                    yearFE54 |   .5385505   .2863649     1.88   0.062    -.0272489     1.10435
                    yearFE55 |   .4184165   .2818691     1.48   0.140    -.1385001    .9753331
                    yearFE56 |   .4481857   .2850092     1.57   0.118    -.1149352    1.011307
                    yearFE57 |   .2281598   .2917295     0.78   0.435     -.348239    .8045587
                    yearFE58 |   .4067686   .2804462     1.45   0.149    -.1473367     .960874
                    yearFE59 |   .2334141   .2648035     0.88   0.379    -.2897843    .7566125
                    yearFE60 |  -.0848314   .2573738    -0.33   0.742    -.5933502    .4236874
                    yearFE61 |  -.2434994   .2376569    -1.02   0.307    -.7130616    .2260628
                    yearFE62 |  -.3942926    .233809    -1.69   0.094    -.8562522    .0676669
                    yearFE63 |  -.1685959   .2098351    -0.80   0.423    -.5831879    .2459961
                    yearFE64 |   .3453461   .2521872     1.37   0.173    -.1529251    .8436173
                    yearFE65 |   .2176163   .2008849     1.08   0.280    -.1792919    .6145246
                    yearFE66 |   .1476672   .2098375     0.70   0.483    -.2669296     .562264
                    yearFE67 |  -.0641872   .1938017    -0.33   0.741    -.4471005     .318726
                    yearFE68 |  -.1936267    .133707    -1.45   0.150    -.4578048    .0705514
                    yearFE69 |          0  (omitted)
                    yearFE70 |          0  (omitted)
                       _cons |   7.708083   7.525703     1.02   0.307    -7.161193    22.57736
-----------------------------+----------------------------------------------------------------
                     sigma_u |  1.1062772
                     sigma_e |  1.7451254
                         rho |  .28666192   (fraction of variance due to u_i)
----------------------------------------------------------------------------------------------

.                 est store tab2b3

.                                 estadd local "Dependent" IMF loans

added macro:
          e(Dependent) : "IMF loans"

.                                 estadd local "Votes" important

added macro:
              e(Votes) : "important"

. 
. 
.         *COLUMN 7       
.         xtreg lnWBlend  unsc unscXpastunga past_unga   l_lngdppcconst lnpop  yearFE*  if oda == 1  & p5 == 0 , fe cluster(coun
> tryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      4,926
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.0733                                         min =          5
     between = 0.0306                                         avg =       32.4
     overall = 0.0004                                         max =         46

                                                F(50,151)         =       8.06
corr(u_i, Xb)  = -0.3269                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
      lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
          unsc |   .4854486   .2237989     2.17   0.032      .043267    .9276302
 unscXpastunga |   -.839999   .8961813    -0.94   0.350    -2.610673     .930675
  past_ungaUSA |   2.872219   .8712086     3.30   0.001     1.150886    4.593552
l_lngdppcconst |  -.3842364   .2256256    -1.70   0.091    -.8300272    .0615545
         lnpop |  -.1214305   .5270075    -0.23   0.818    -1.162691    .9198303
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |          0  (omitted)
      yearFE17 |          0  (omitted)
      yearFE18 |          0  (omitted)
      yearFE19 |          0  (omitted)
      yearFE20 |          0  (omitted)
      yearFE21 |          0  (omitted)
      yearFE22 |          0  (omitted)
      yearFE23 |          0  (omitted)
      yearFE24 |          0  (omitted)
      yearFE25 |  -3.093616    .685829    -4.51   0.000    -4.448677   -1.738556
      yearFE26 |  -3.200444    .670896    -4.77   0.000    -4.525999   -1.874888
      yearFE27 |  -2.962523   .6666787    -4.44   0.000    -4.279746     -1.6453
      yearFE28 |  -2.434862   .6609484    -3.68   0.000    -3.740763   -1.128961
      yearFE29 |  -2.404802   .6484342    -3.71   0.000    -3.685978   -1.123627
      yearFE30 |  -2.089474   .5984738    -3.49   0.001    -3.271938     -.90701
      yearFE31 |  -1.835291   .5739572    -3.20   0.002    -2.969315   -.7012668
      yearFE32 |  -1.816742   .5231181    -3.47   0.001    -2.850318   -.7831654
      yearFE33 |  -1.435247   .5336073    -2.69   0.008    -2.489548   -.3809467
      yearFE34 |  -1.346833   .4946361    -2.72   0.007    -2.324135   -.3695319
      yearFE35 |  -1.247599     .49375    -2.53   0.013     -2.22315   -.2720482
      yearFE36 |  -1.430108   .4762461    -3.00   0.003    -2.371074   -.4891412
      yearFE37 |   -1.69953   .4815865    -3.53   0.001    -2.651048   -.7480118
      yearFE38 |  -1.314422   .4570946    -2.88   0.005    -2.217549    -.411295
      yearFE39 |  -1.420581   .4412946    -3.22   0.002    -2.292491    -.548672
      yearFE40 |   -1.04126   .4138315    -2.52   0.013    -1.858908   -.2236121
      yearFE41 |   -1.16363   .4068841    -2.86   0.005    -1.967552   -.3597092
      yearFE42 |  -1.113684    .403803    -2.76   0.007    -1.911518   -.3158505
      yearFE43 |  -.9905593   .4109058    -2.41   0.017    -1.802427    -.178692
      yearFE44 |  -.9946575   .4092963    -2.43   0.016    -1.803345   -.1859703
      yearFE45 |   -.956535   .4160374    -2.30   0.023    -1.778541   -.1345288
      yearFE46 |  -.6140547   .3909412    -1.57   0.118    -1.386476    .1583665
      yearFE47 |  -.6450528   .3740278    -1.72   0.087    -1.384057     .093951
      yearFE48 |  -.5410094   .3514967    -1.54   0.126    -1.235496    .1534773
      yearFE49 |  -.6611447   .3266914    -2.02   0.045    -1.306621   -.0156682
      yearFE50 |   -.835549   .3391539    -2.46   0.015    -1.505649    -.165449
      yearFE51 |  -1.046836   .3230291    -3.24   0.001    -1.685076   -.4085953
      yearFE52 |  -1.080931   .3271609    -3.30   0.001    -1.727335   -.4345269
      yearFE53 |  -.8855781   .3239799    -2.73   0.007    -1.525697   -.2454589
      yearFE54 |  -1.343169   .3077974    -4.36   0.000    -1.951314   -.7350228
      yearFE55 |  -1.237678   .3107842    -3.98   0.000    -1.851726   -.6236314
      yearFE56 |  -1.017091   .2859342    -3.56   0.001    -1.582039   -.4521423
      yearFE57 |  -1.100039   .3020217    -3.64   0.000    -1.696774   -.5033053
      yearFE58 |  -1.080565   .2695538    -4.01   0.000    -1.613149   -.5479806
      yearFE59 |  -.8334958   .2373308    -3.51   0.001    -1.302414   -.3645779
      yearFE60 |  -.7768918    .241371    -3.22   0.002    -1.253792   -.2999912
      yearFE61 |  -.8499071   .2193341    -3.87   0.000    -1.283267    -.416547
      yearFE62 |  -.5641045   .2083299    -2.71   0.008    -.9757225   -.1524865
      yearFE63 |  -.2470359    .206004    -1.20   0.232    -.6540584    .1599866
      yearFE64 |  -.0378704   .2234857    -0.17   0.866    -.4794331    .4036923
      yearFE65 |   .0963035    .236576     0.41   0.685    -.3711231    .5637301
      yearFE66 |  -.0563644   .1975253    -0.29   0.776    -.4466348     .333906
      yearFE67 |  -.3028128     .20872    -1.45   0.149    -.7152016     .109576
      yearFE68 |  -.3228908   .1890769    -1.71   0.090    -.6964688    .0506871
      yearFE69 |    .275737   .2094627     1.32   0.190    -.1381191    .6895931
      yearFE70 |          0  (omitted)
         _cons |   8.038848   9.183614     0.88   0.383    -10.10613    26.18382
---------------+----------------------------------------------------------------
       sigma_u |  1.9453927
       sigma_e |  1.6299704
           rho |  .58753974   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

.                         est store tab2c1

.                         estadd local "Dependent" WB loans

added macro:
          e(Dependent) : "WB loans"

.                         estadd local "Votes" -

added macro:
              e(Votes) : "-"

.         
.         *COLUMN 8
.         xtreg lnWBlend  votedallwithUSA  votednotallwithUSA unscall_pastunga unscnotallXpastunga past_unga              l_lngd
> ppcconst lnpop  yearFE*  if oda == 1  & p5 == 0  , fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      4,926
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.0745                                         min =          5
     between = 0.0483                                         avg =       32.4
     overall = 0.0002                                         max =         46

                                                F(52,151)         =       8.44
corr(u_i, Xb)  = -0.3722                        Prob > F          =     0.0000

                                   (Std. Err. adjusted for 152 clusters in countryid)
-------------------------------------------------------------------------------------
                    |               Robust
           lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
    votedallwithUSA |   .9608429   .3318889     2.90   0.004     .3050972    1.616589
 votednotallwithUSA |   -.001732   .3680292    -0.00   0.996    -.7288837    .7254198
   unscall_pastunga |  -2.165184   1.309087    -1.65   0.100    -4.751677    .4213089
unscnotallXpastunga |   .8036114   1.505763     0.53   0.594    -2.171474    3.778697
       past_ungaUSA |   2.880961   .8742825     3.30   0.001     1.153555    4.608368
     l_lngdppcconst |  -.3851907   .2256484    -1.71   0.090    -.8310266    .0606452
              lnpop |  -.1445498   .5254285    -0.28   0.784    -1.182691    .8935912
            yearFE1 |          0  (omitted)
            yearFE2 |          0  (omitted)
            yearFE3 |          0  (omitted)
            yearFE4 |          0  (omitted)
            yearFE5 |          0  (omitted)
            yearFE6 |          0  (omitted)
            yearFE7 |          0  (omitted)
            yearFE8 |          0  (omitted)
            yearFE9 |          0  (omitted)
           yearFE10 |          0  (omitted)
           yearFE11 |          0  (omitted)
           yearFE12 |          0  (omitted)
           yearFE13 |          0  (omitted)
           yearFE14 |          0  (omitted)
           yearFE15 |          0  (omitted)
           yearFE16 |          0  (omitted)
           yearFE17 |          0  (omitted)
           yearFE18 |          0  (omitted)
           yearFE19 |          0  (omitted)
           yearFE20 |          0  (omitted)
           yearFE21 |          0  (omitted)
           yearFE22 |          0  (omitted)
           yearFE23 |          0  (omitted)
           yearFE24 |          0  (omitted)
           yearFE25 |  -3.091179   .6831825    -4.52   0.000    -4.441011   -1.741348
           yearFE26 |  -3.208175   .6682132    -4.80   0.000     -4.52843    -1.88792
           yearFE27 |  -2.971989   .6648844    -4.47   0.000    -4.285666   -1.658311
           yearFE28 |  -2.454807   .6593397    -3.72   0.000     -3.75753   -1.152085
           yearFE29 |  -2.414467    .648352    -3.72   0.000     -3.69548   -1.133454
           yearFE30 |  -2.104609   .5966782    -3.53   0.001    -3.283525   -.9256931
           yearFE31 |  -1.848849   .5740656    -3.22   0.002    -2.983087   -.7146107
           yearFE32 |  -1.823453   .5233522    -3.48   0.001    -2.857491    -.789414
           yearFE33 |  -1.451564   .5311835    -2.73   0.007    -2.501076   -.4020522
           yearFE34 |  -1.360788   .4920378    -2.77   0.006    -2.332956   -.3886208
           yearFE35 |  -1.253738    .493931    -2.54   0.012    -2.229646   -.2778299
           yearFE36 |  -1.435974   .4759143    -3.02   0.003    -2.376285   -.4956628
           yearFE37 |  -1.705149   .4806226    -3.55   0.001    -2.654762   -.7555351
           yearFE38 |  -1.314002   .4567006    -2.88   0.005     -2.21635   -.4116534
           yearFE39 |  -1.410092   .4405814    -3.20   0.002    -2.280592   -.5395915
           yearFE40 |  -1.026516    .414051    -2.48   0.014    -1.844598   -.2084346
           yearFE41 |   -1.14372   .4072634    -2.81   0.006    -1.948391     -.33905
           yearFE42 |  -1.096055   .4018012    -2.73   0.007    -1.889933   -.3021767
           yearFE43 |  -.9729326   .4100192    -2.37   0.019    -1.783048   -.1628172
           yearFE44 |  -.9733318   .4099038    -2.37   0.019    -1.783219   -.1634443
           yearFE45 |  -.9384984   .4156498    -2.26   0.025    -1.759739   -.1172581
           yearFE46 |  -.6155505     .39117    -1.57   0.118    -1.388424    .1573228
           yearFE47 |  -.6619087   .3713065    -1.78   0.077    -1.395536    .0717182
           yearFE48 |  -.5559869   .3491515    -1.59   0.113     -1.24584    .1338664
           yearFE49 |  -.6601421   .3268973    -2.02   0.045    -1.306026   -.0142587
           yearFE50 |  -.8174011   .3389586    -2.41   0.017    -1.487115   -.1476871
           yearFE51 |  -1.035244   .3231268    -3.20   0.002    -1.673678   -.3968105
           yearFE52 |  -1.073703   .3267739    -3.29   0.001    -1.719343   -.4280636
           yearFE53 |  -.8871996   .3234397    -2.74   0.007    -1.526251   -.2481477
           yearFE54 |  -1.343571   .3069463    -4.38   0.000    -1.950035   -.7371071
           yearFE55 |  -1.239141   .3104566    -3.99   0.000    -1.852541   -.6257407
           yearFE56 |  -1.005699   .2864675    -3.51   0.001    -1.571702   -.4396973
           yearFE57 |  -1.087094   .3024442    -3.59   0.000    -1.684663    -.489525
           yearFE58 |  -1.064583   .2690743    -3.96   0.000    -1.596219   -.5329459
           yearFE59 |  -.8143505    .237432    -3.43   0.001    -1.283468   -.3452325
           yearFE60 |  -.7820805   .2408618    -3.25   0.001    -1.257975    -.306186
           yearFE61 |  -.8314947   .2187697    -3.80   0.000     -1.26374   -.3992496
           yearFE62 |  -.5654013   .2079626    -2.72   0.007    -.9762936    -.154509
           yearFE63 |  -.2402979   .2053948    -1.17   0.244    -.6461167    .1655208
           yearFE64 |  -.0388971   .2219315    -0.18   0.861    -.4773892     .399595
           yearFE65 |   .0954292   .2357815     0.40   0.686    -.3704276     .561286
           yearFE66 |  -.0274102    .197549    -0.14   0.890    -.4177273    .3629069
           yearFE67 |   -.313977   .2072552    -1.51   0.132    -.7234716    .0955177
           yearFE68 |  -.3275924   .1884675    -1.74   0.084    -.6999664    .0447815
           yearFE69 |   .2759135   .2090537     1.32   0.189    -.1371346    .6889616
           yearFE70 |          0  (omitted)
              _cons |   8.400834   9.152966     0.92   0.360    -9.683587    26.48525
--------------------+----------------------------------------------------------------
            sigma_u |  1.9825063
            sigma_e |  1.6293242
                rho |  .59685866   (fraction of variance due to u_i)
-------------------------------------------------------------------------------------

.                         est store tab2c2

.                         estadd local "Dependent" WB loans 

added macro:
          e(Dependent) : "WB loans"

.                         estadd local "Votes" all

added macro:
              e(Votes) : "all"

.                         
.         *COLUMN 9
.         xtreg lnWBlend votedallwithUSA_higoo_nor  votednotallwithUSA_higoo_nor unscallimp_pastunga unscnotallimpXpastunga past
> _unga             l_lngdppcconst lnpop  yearFE*  if oda == 1  & p5 == 0 , fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      4,926
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.0745                                         min =          5
     between = 0.0482                                         avg =       32.4
     overall = 0.0002                                         max =         46

                                                F(52,151)         =       8.45
corr(u_i, Xb)  = -0.3719                        Prob > F          =     0.0000

                                            (Std. Err. adjusted for 152 clusters in countryid)
----------------------------------------------------------------------------------------------
                             |               Robust
                    lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------------+----------------------------------------------------------------
   votedallwithUSA_higoo_nor |   .9612882   .3320386     2.90   0.004     .3052468     1.61733
votednotallwithUSA_higoo_nor |  -.0012173    .368071    -0.00   0.997    -.7284516    .7260171
         unscallimp_pastunga |  -2.159516   1.307434    -1.65   0.101    -4.742743    .4237115
      unscnotallimpXpastunga |   .7901829   1.507826     0.52   0.601    -2.188978    3.769344
                past_ungaUSA |   2.879613   .8744844     3.29   0.001     1.151807    4.607418
              l_lngdppcconst |   -.385283   .2256466    -1.71   0.090    -.8311154    .0605493
                       lnpop |  -.1445007   .5254163    -0.28   0.784    -1.182618    .8936162
                     yearFE1 |          0  (omitted)
                     yearFE2 |          0  (omitted)
                     yearFE3 |          0  (omitted)
                     yearFE4 |          0  (omitted)
                     yearFE5 |          0  (omitted)
                     yearFE6 |          0  (omitted)
                     yearFE7 |          0  (omitted)
                     yearFE8 |          0  (omitted)
                     yearFE9 |          0  (omitted)
                    yearFE10 |          0  (omitted)
                    yearFE11 |          0  (omitted)
                    yearFE12 |          0  (omitted)
                    yearFE13 |          0  (omitted)
                    yearFE14 |          0  (omitted)
                    yearFE15 |          0  (omitted)
                    yearFE16 |          0  (omitted)
                    yearFE17 |          0  (omitted)
                    yearFE18 |          0  (omitted)
                    yearFE19 |          0  (omitted)
                    yearFE20 |          0  (omitted)
                    yearFE21 |          0  (omitted)
                    yearFE22 |          0  (omitted)
                    yearFE23 |          0  (omitted)
                    yearFE24 |          0  (omitted)
                    yearFE25 |  -3.090699   .6832314    -4.52   0.000    -4.440626   -1.740771
                    yearFE26 |  -3.207919   .6682481    -4.80   0.000    -4.528243   -1.887595
                    yearFE27 |  -2.971457   .6649685    -4.47   0.000    -4.285301   -1.657613
                    yearFE28 |  -2.453998   .6594792    -3.72   0.000    -3.756996      -1.151
                    yearFE29 |  -2.413754   .6485162    -3.72   0.000    -3.695092   -1.132417
                    yearFE30 |  -2.103908   .5968212    -3.53   0.001    -3.283107   -.9247093
                    yearFE31 |  -1.848249   .5741962    -3.22   0.002    -2.982745   -.7137525
                    yearFE32 |  -1.822866   .5234642    -3.48   0.001    -2.857126   -.7886058
                    yearFE33 |  -1.451458   .5311989    -2.73   0.007       -2.501   -.4019162
                    yearFE34 |    -1.3607   .4920369    -2.77   0.006    -2.332866    -.388534
                    yearFE35 |  -1.253154   .4940536    -2.54   0.012    -2.229304   -.2770033
                    yearFE36 |  -1.435485   .4760319    -3.02   0.003    -2.376028   -.4949414
                    yearFE37 |  -1.704664   .4807559    -3.55   0.001    -2.654541   -.7547875
                    yearFE38 |  -1.313621   .4567781    -2.88   0.005    -2.216123   -.4111198
                    yearFE39 |    -1.4098   .4406527    -3.20   0.002    -2.280441   -.5391592
                    yearFE40 |  -1.026305   .4141065    -2.48   0.014    -1.844496   -.2081138
                    yearFE41 |  -1.143607   .4072946    -2.81   0.006    -1.948339   -.3388748
                    yearFE42 |   -1.09597    .401813    -2.73   0.007    -1.889872   -.3020682
                    yearFE43 |  -.9728461   .4100335    -2.37   0.019     -1.78299   -.1627024
                    yearFE44 |  -.9732517   .4099143    -2.37   0.019     -1.78316   -.1633435
                    yearFE45 |  -.9384232   .4156647    -2.26   0.025    -1.759693   -.1171533
                    yearFE46 |  -.6156037   .3911605    -1.57   0.118    -1.388458    .1572508
                    yearFE47 |  -.6619877   .3712854    -1.78   0.077    -1.395573    .0715975
                    yearFE48 |  -.5560637   .3491446    -1.59   0.113    -1.245903    .1337758
                    yearFE49 |  -.6601286   .3269051    -2.02   0.045    -1.306027   -.0142299
                    yearFE50 |  -.8172436   .3389721    -2.41   0.017    -1.486984    -.147503
                    yearFE51 |  -1.035004   .3231605    -3.20   0.002    -1.673504   -.3965035
                    yearFE52 |  -1.073431   .3267949    -3.28   0.001    -1.719112   -.4277502
                    yearFE53 |   -.887148   .3234426    -2.74   0.007    -1.526205   -.2480905
                    yearFE54 |  -1.343483   .3069685    -4.38   0.000    -1.949991   -.7369748
                    yearFE55 |  -1.239069   .3104775    -3.99   0.000     -1.85251   -.6256281
                    yearFE56 |  -1.005415    .286512    -3.51   0.001    -1.571505   -.4393251
                    yearFE57 |   -1.08691   .3024874    -3.59   0.000    -1.684564   -.4892556
                    yearFE58 |  -1.064414    .269075    -3.96   0.000    -1.596053   -.5327764
                    yearFE59 |   -.814203   .2374612    -3.43   0.001    -1.283379   -.3450275
                    yearFE60 |  -.7821147   .2408608    -3.25   0.001    -1.258007   -.3062223
                    yearFE61 |  -.8314281   .2187664    -3.80   0.000    -1.263667   -.3991896
                    yearFE62 |  -.5654492   .2079624    -2.72   0.007     -.976341   -.1545574
                    yearFE63 |  -.2403555   .2053897    -1.17   0.244    -.6461643    .1654533
                    yearFE64 |  -.0403955   .2217137    -0.18   0.856    -.4784571    .3976661
                    yearFE65 |   .0953555   .2357678     0.40   0.686    -.3704743    .5611853
                    yearFE66 |  -.0273943   .1975379    -0.14   0.890    -.4176895    .3629009
                    yearFE67 |   -.314057   .2072525    -1.52   0.132    -.7235462    .0954322
                    yearFE68 |  -.3276356   .1884644    -1.74   0.084    -.7000034    .0447321
                    yearFE69 |   .2758971   .2090522     1.32   0.189    -.1371479    .6889421
                    yearFE70 |          0  (omitted)
                       _cons |   8.400944   9.152698     0.92   0.360    -9.682947    26.48484
-----------------------------+----------------------------------------------------------------
                     sigma_u |  1.9823143
                     sigma_e |  1.6293174
                         rho |  .59681403   (fraction of variance due to u_i)
----------------------------------------------------------------------------------------------

.                 est store tab2c3

.                                 estadd local "Dependent" WB loans

added macro:
          e(Dependent) : "WB loans"

.                                 estadd local "Votes" important

added macro:
              e(Votes) : "important"

. 
. 
. 
.         estout tab2* using "tables/TableA5.xls", title(" ") ///
>                  replace delimiter(_tab) label noabbrev style(tab) collabels(none) ///
>                  drop(_cons ) indicate("Country FE and Year FE" = yearFE*)  ///
>                  order(unsc unscXpastunga votedallwithUSA unscall_pastunga votednotallwithUSA unscnotallXpastunga votedallwith
> USA_higoo_nor unscallimp_pastunga votednotallwithUSA_higoo_nor unscnotallimpXpastunga ) ///
>                  cells(b(star fmt(3)) se(par([ ]) abs fmt(3))) starlevels(* 0.1 ** 0.05 *** 0.01) ///
>                  stats(N r2 Votes Dependent, fmt(0 3 0) label( "Observations" "R-squared" "Votes" "Dependent Variable"))  ///
>                  mlabels("[1]" "[2]" "[3]" "[4]" "[5]" "[6]" "[7]" "[8]" "[9]" "[10]" "[11]" "[12]") ///
>                  note("Notes: Standard errors clustered on the country-level are in brackets. Significance levels: * p < 0.1; 
> ** p < 0.05; *** p < 0.01")
(output written to tables/TableA5.xls)

. 
.                  
.                  
.                  
. *TABLE A6
. 
. use "regressiondata.dta", clear

. 
.         *Robust: ISDB           
.                         
.                 xtreg  lnODAOOFnetdis_IsDB  votedallwithUSA  votednotallwithUSA                 l_lngdppcconst lnpop    yearFE
> *  if oda == 1 & p5 == 0  ,  fe cluster(countryid) //
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE25 omitted because of collinearity
note: yearFE26 omitted because of collinearity
note: yearFE27 omitted because of collinearity
note: yearFE28 omitted because of collinearity
note: yearFE29 omitted because of collinearity
note: yearFE30 omitted because of collinearity
note: yearFE31 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      4,914
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1704                                         min =          4
     between = 0.0740                                         avg =       32.3
     overall = 0.0408                                         max =         39

                                                F(42,151)         =       1.90
corr(u_i, Xb)  = -0.9541                        Prob > F          =     0.0026

                                  (Std. Err. adjusted for 152 clusters in countryid)
------------------------------------------------------------------------------------
                   |               Robust
lnODAOOFnetdis_I~B |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
   votedallwithUSA |   .0006594   .0968043     0.01   0.995    -.1906065    .1919253
votednotallwithUSA |   .0241381   .0609722     0.40   0.693    -.0963306    .1446069
    l_lngdppcconst |   .0353026   .0848926     0.42   0.678    -.1324281    .2030334
             lnpop |   .7473671   .2675172     2.79   0.006     .2188068    1.275927
           yearFE1 |          0  (omitted)
           yearFE2 |          0  (omitted)
           yearFE3 |          0  (omitted)
           yearFE4 |          0  (omitted)
           yearFE5 |          0  (omitted)
           yearFE6 |          0  (omitted)
           yearFE7 |          0  (omitted)
           yearFE8 |          0  (omitted)
           yearFE9 |          0  (omitted)
          yearFE10 |          0  (omitted)
          yearFE11 |          0  (omitted)
          yearFE12 |          0  (omitted)
          yearFE13 |          0  (omitted)
          yearFE14 |          0  (omitted)
          yearFE15 |          0  (omitted)
          yearFE16 |          0  (omitted)
          yearFE17 |          0  (omitted)
          yearFE18 |          0  (omitted)
          yearFE19 |          0  (omitted)
          yearFE20 |          0  (omitted)
          yearFE21 |          0  (omitted)
          yearFE22 |          0  (omitted)
          yearFE23 |          0  (omitted)
          yearFE24 |          0  (omitted)
          yearFE25 |          0  (omitted)
          yearFE26 |          0  (omitted)
          yearFE27 |          0  (omitted)
          yearFE28 |          0  (omitted)
          yearFE29 |          0  (omitted)
          yearFE30 |          0  (omitted)
          yearFE31 |          0  (omitted)
          yearFE32 |  -.0882443    .213084    -0.41   0.679    -.5092553    .3327668
          yearFE33 |  -.0628645   .2020078    -0.31   0.756    -.4619912    .3362623
          yearFE34 |  -.0567356   .1974496    -0.29   0.774    -.4468562     .333385
          yearFE35 |  -.0437802   .1952436    -0.22   0.823    -.4295422    .3419818
          yearFE36 |  -.0980507    .192385    -0.51   0.611    -.4781647    .2820633
          yearFE37 |  -.0823536   .1856329    -0.44   0.658     -.449127    .2844198
          yearFE38 |  -.0711631   .1831929    -0.39   0.698    -.4331154    .2907893
          yearFE39 |  -.0935141   .1802022    -0.52   0.605    -.4495574    .2625291
          yearFE40 |  -.0727713   .1783216    -0.41   0.684    -.4250989    .2795564
          yearFE41 |  -.0895755   .1723041    -0.52   0.604    -.4300138    .2508629
          yearFE42 |  -.1043923    .169331    -0.62   0.538    -.4389563    .2301717
          yearFE43 |  -.1584427   .1641718    -0.97   0.336    -.4828131    .1659278
          yearFE44 |  -.1787052   .1570111    -1.14   0.257    -.4889276    .1315172
          yearFE45 |  -.1517103   .1594024    -0.95   0.343    -.4666574    .1632367
          yearFE46 |  -.2337776   .1543637    -1.51   0.132    -.5387691     .071214
          yearFE47 |  -.1523328   .1434527    -1.06   0.290    -.4357665    .1311009
          yearFE48 |  -.2296076   .1436639    -1.60   0.112    -.5134586    .0542434
          yearFE49 |  -.2188125   .1332696    -1.64   0.103    -.4821265    .0445015
          yearFE50 |  -.3710152   .1368192    -2.71   0.007    -.6413424    -.100688
          yearFE51 |  -.3858389   .1341743    -2.88   0.005    -.6509404   -.1207374
          yearFE52 |  -.3970412   .1314096    -3.02   0.003    -.6566802   -.1374022
          yearFE53 |   -.409066   .1282061    -3.19   0.002    -.6623756   -.1557564
          yearFE54 |  -.3824597   .1230024    -3.11   0.002    -.6254878   -.1394317
          yearFE55 |  -.3969183   .1227603    -3.23   0.002     -.639468   -.1543686
          yearFE56 |  -.2184542    .114141    -1.91   0.058    -.4439738    .0070654
          yearFE57 |  -.2507613   .1108807    -2.26   0.025    -.4698392   -.0316834
          yearFE58 |   -.411689   .1204671    -3.42   0.001    -.6497078   -.1736702
          yearFE59 |  -.1610635   .1114654    -1.44   0.151    -.3812967    .0591698
          yearFE60 |  -.1831189   .1108721    -1.65   0.101    -.4021799    .0359421
          yearFE61 |  -.1196025   .1076265    -1.11   0.268    -.3322508    .0930457
          yearFE62 |  -.1710176   .1062012    -1.61   0.109    -.3808499    .0388147
          yearFE63 |  -.2299439   .1052748    -2.18   0.030    -.4379457   -.0219422
          yearFE64 |   .0116137   .0948457     0.12   0.903    -.1757823    .1990097
          yearFE65 |   .3713424   .1179023     3.15   0.002     .1383912    .6042936
          yearFE66 |   .2906422   .1105039     2.63   0.009     .0723087    .5089758
          yearFE67 |    .109746   .1081912     1.01   0.312     -.104018    .3235101
          yearFE68 |  -.0077142   .0889676    -0.09   0.931    -.1834964     .168068
          yearFE69 |  -.0194165   .0889546    -0.22   0.828    -.1951729    .1563399
          yearFE70 |          0  (omitted)
             _cons |  -11.36109   4.257867    -2.67   0.008    -19.77378   -2.948399
-------------------+----------------------------------------------------------------
           sigma_u |  1.4677336
           sigma_e |  .58733679
               rho |  .86197038   (fraction of variance due to u_i)
------------------------------------------------------------------------------------

.                         est store placebo1

.                         estadd local "Dependent" IsDB loans

added macro:
          e(Dependent) : "IsDB loans"

.                 xtreg  lnODAOOFnetdis_IsDB  votedallwithUSA c.votedallwithUSA#c.past_unga votednotallwithUSA c.votednotallwith
> USA#c.past_unga past_unga                 l_lngdppcconst lnpop    yearFE*  if oda == 1 & p5 == 0  ,  fe cluster(countryid) //
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE25 omitted because of collinearity
note: yearFE26 omitted because of collinearity
note: yearFE27 omitted because of collinearity
note: yearFE28 omitted because of collinearity
note: yearFE29 omitted because of collinearity
note: yearFE30 omitted because of collinearity
note: yearFE31 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      4,433
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1751                                         min =          4
     between = 0.0665                                         avg =       29.2
     overall = 0.0344                                         max =         39

                                                F(45,151)         =       1.95
corr(u_i, Xb)  = -0.9578                        Prob > F          =     0.0015

                                                   (Std. Err. adjusted for 152 clusters in countryid)
-----------------------------------------------------------------------------------------------------
                                    |               Robust
                lnODAOOFnetdis_IsDB |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------------------------+----------------------------------------------------------------
                    votedallwithUSA |   .0220546   .2604949     0.08   0.933     -.492631    .5367401
                                    |
   c.votedallwithUSA#c.past_ungaUSA |  -.1803371    .939834    -0.19   0.848     -2.03726    1.676586
                                    |
                 votednotallwithUSA |    .153695   .1825025     0.84   0.401    -.2068932    .5142833
                                    |
c.votednotallwithUSA#c.past_ungaUSA |  -.6831221   .8482077    -0.81   0.422     -2.35901    .9927658
                                    |
                       past_ungaUSA |   .3635405   .7571886     0.48   0.632    -1.132512    1.859593
                     l_lngdppcconst |   .0943572   .1164291     0.81   0.419    -.1356832    .3243976
                              lnpop |   .8812158   .3068854     2.87   0.005     .2748719     1.48756
                            yearFE1 |          0  (omitted)
                            yearFE2 |          0  (omitted)
                            yearFE3 |          0  (omitted)
                            yearFE4 |          0  (omitted)
                            yearFE5 |          0  (omitted)
                            yearFE6 |          0  (omitted)
                            yearFE7 |          0  (omitted)
                            yearFE8 |          0  (omitted)
                            yearFE9 |          0  (omitted)
                           yearFE10 |          0  (omitted)
                           yearFE11 |          0  (omitted)
                           yearFE12 |          0  (omitted)
                           yearFE13 |          0  (omitted)
                           yearFE14 |          0  (omitted)
                           yearFE15 |          0  (omitted)
                           yearFE16 |          0  (omitted)
                           yearFE17 |          0  (omitted)
                           yearFE18 |          0  (omitted)
                           yearFE19 |          0  (omitted)
                           yearFE20 |          0  (omitted)
                           yearFE21 |          0  (omitted)
                           yearFE22 |          0  (omitted)
                           yearFE23 |          0  (omitted)
                           yearFE24 |          0  (omitted)
                           yearFE25 |          0  (omitted)
                           yearFE26 |          0  (omitted)
                           yearFE27 |          0  (omitted)
                           yearFE28 |          0  (omitted)
                           yearFE29 |          0  (omitted)
                           yearFE30 |          0  (omitted)
                           yearFE31 |          0  (omitted)
                           yearFE32 |  -.0130515   .3106934    -0.04   0.967    -.6269193    .6008162
                           yearFE33 |   .0182046   .2840809     0.06   0.949    -.5430822    .5794913
                           yearFE34 |   .0160867   .2835174     0.06   0.955    -.5440866      .57626
                           yearFE35 |   .0252722   .2885756     0.09   0.930    -.5448953    .5954396
                           yearFE36 |  -.0377781   .2785633    -0.14   0.892    -.5881631    .5126068
                           yearFE37 |  -.0238801   .2708154    -0.09   0.930    -.5589568    .5111966
                           yearFE38 |   .0052528   .2477259     0.02   0.983    -.4842037    .4947093
                           yearFE39 |  -.0017375   .2229837    -0.01   0.994    -.4423085    .4388335
                           yearFE40 |   .0318869   .2130785     0.15   0.881    -.3891133    .4528872
                           yearFE41 |   .0329767   .1983617     0.17   0.868    -.3589462    .4248996
                           yearFE42 |   .0222388   .1931189     0.12   0.908    -.3593252    .4038029
                           yearFE43 |  -.0298722   .1846815    -0.16   0.872    -.3947657    .3350212
                           yearFE44 |  -.0527233   .1748571    -0.30   0.763    -.3982058    .2927592
                           yearFE45 |  -.0229034   .1769162    -0.13   0.897    -.3724542    .3266475
                           yearFE46 |  -.0968387   .1732361    -0.56   0.577    -.4391183    .2454409
                           yearFE47 |  -.0117283   .1598548    -0.07   0.942    -.3275692    .3041126
                           yearFE48 |  -.1118838    .159298    -0.70   0.484    -.4266245     .202857
                           yearFE49 |  -.1101518   .1482812    -0.74   0.459    -.4031256     .182822
                           yearFE50 |  -.3040756    .156665    -1.94   0.054    -.6136141     .005463
                           yearFE51 |  -.3330666   .1609275    -2.07   0.040     -.651027   -.0151061
                           yearFE52 |  -.3757338   .1609498    -2.33   0.021    -.6937382   -.0577295
                           yearFE53 |  -.3886601   .1652851    -2.35   0.020    -.7152301     -.06209
                           yearFE54 |  -.3770372   .1656064    -2.28   0.024    -.7042421   -.0498323
                           yearFE55 |  -.3930954   .1548584    -2.54   0.012    -.6990644   -.0871263
                           yearFE56 |  -.1978324   .1444623    -1.37   0.173    -.4832608    .0875961
                           yearFE57 |  -.2363058   .1362785    -1.73   0.085    -.5055647    .0329532
                           yearFE58 |  -.4002697   .1362662    -2.94   0.004    -.6695042   -.1310352
                           yearFE59 |  -.1365436   .1228239    -1.11   0.268    -.3792188    .1061317
                           yearFE60 |  -.1342237   .1179835    -1.14   0.257    -.3673353    .0988879
                           yearFE61 |  -.0717884   .1124524    -0.64   0.524    -.2939718     .150395
                           yearFE62 |  -.1243831   .1122486    -1.11   0.270    -.3461638    .0973976
                           yearFE63 |  -.1808817   .1131325    -1.60   0.112    -.4044087    .0426454
                           yearFE64 |   .0606037   .1063449     0.57   0.570    -.1495124    .2707198
                           yearFE65 |   .4200736   .1295975     3.24   0.001     .1640149    .6761322
                           yearFE66 |   .3297936   .1221339     2.70   0.008     .0884815    .5711056
                           yearFE67 |   .1430192   .1167325     1.23   0.222    -.0876207     .373659
                           yearFE68 |   .0099106   .0928608     0.11   0.915    -.1735637    .1933848
                           yearFE69 |  -.0121011   .0901336    -0.13   0.893    -.1901871    .1659848
                           yearFE70 |          0  (omitted)
                              _cons |  -14.12822   5.070747    -2.79   0.006    -24.14699   -4.109438
------------------------------------+----------------------------------------------------------------
                            sigma_u |  1.6984585
                            sigma_e |   .6061612
                                rho |  .88702041   (fraction of variance due to u_i)
-----------------------------------------------------------------------------------------------------

.                         est store placebo2

.                         estadd local "Dependent" IsDB loans

added macro:
          e(Dependent) : "IsDB loans"

.                         margins, dydx(votedallwithUSA) at(past_unga = (0 (0.05) 1))     

Average marginal effects                        Number of obs     =      4,433
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : votedallwithUSA

1._at        : past_ungaUSA    =           0

2._at        : past_ungaUSA    =         .05

3._at        : past_ungaUSA    =          .1

4._at        : past_ungaUSA    =         .15

5._at        : past_ungaUSA    =          .2

6._at        : past_ungaUSA    =         .25

7._at        : past_ungaUSA    =          .3

8._at        : past_ungaUSA    =         .35

9._at        : past_ungaUSA    =          .4

10._at       : past_ungaUSA    =         .45

11._at       : past_ungaUSA    =          .5

12._at       : past_ungaUSA    =         .55

13._at       : past_ungaUSA    =          .6

14._at       : past_ungaUSA    =         .65

15._at       : past_ungaUSA    =          .7

16._at       : past_ungaUSA    =         .75

17._at       : past_ungaUSA    =          .8

18._at       : past_ungaUSA    =         .85

19._at       : past_ungaUSA    =          .9

20._at       : past_ungaUSA    =         .95

21._at       : past_ungaUSA    =           1

---------------------------------------------------------------------------------
                |            Delta-method
                |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
votedallwithUSA |
            _at |
             1  |   .0220546   .2604949     0.08   0.933     -.488506    .5326152
             2  |   .0130377   .2145024     0.06   0.952    -.4073793    .4334547
             3  |   .0040209   .1690604     0.02   0.981    -.3273314    .3353731
             4  |   -.004996   .1247717    -0.04   0.968    -.2495441    .2395521
             5  |  -.0140128   .0834925    -0.17   0.867    -.1776551    .1496294
             6  |  -.0230297   .0528246    -0.44   0.663    -.1265641    .0805047
             7  |  -.0320466   .0550121    -0.58   0.560    -.1398683    .0757752
             8  |  -.0410634   .0876279    -0.47   0.639     -.212811    .1306842
             9  |  -.0500803   .1294118    -0.39   0.699    -.3037228    .2035623
            10  |  -.0590971   .1738753    -0.34   0.734    -.3998865    .2816922
            11  |   -.068114   .2193952    -0.31   0.756    -.4981208    .3618928
            12  |  -.0771308   .2654286    -0.29   0.771    -.5973614    .4430997
            13  |  -.0861477   .3117481    -0.28   0.782    -.6971628    .5248674
            14  |  -.0951645   .3582427    -0.27   0.791    -.7973073    .6069782
            15  |  -.1041814   .4048521    -0.26   0.797     -.897677    .6893142
            16  |  -.1131983   .4515408    -0.25   0.802     -.998202    .7718054
            17  |  -.1222151   .4982864    -0.25   0.806    -1.098839    .8544084
            18  |   -.131232   .5450744    -0.24   0.810    -1.199558    .9370942
            19  |  -.1402488   .5918946    -0.24   0.813    -1.300341    1.019843
            20  |  -.1492657     .63874    -0.23   0.815    -1.401173    1.102642
            21  |  -.1582825   .6856055    -0.23   0.817    -1.502045     1.18548
---------------------------------------------------------------------------------

.                         marginsplot, level(95) title(" ", color(black) size(medium)) xtitle("Allied" "(political proximity to 
> US in previous period)") ytitle("Effect of UNSC, all with US") legend(off) graphregion(color(white)) bgcolor(white)  ///
>                                                 ylabel(-3 (1) 3 , nogrid angle(0) axis(1))  yscale(range(-3 3) axis(1)) xscale
> (range(0 1)) xlabel(0 (0.2) 1) plotopts(msize(small) mcolor(black) lcolor(black)) ciopts(lwidth(thin) lcolor(black)) yline(0, 
> lcolor(maroon)) ///
>                                                 addplot(hist past_unga if e(sample) , below color("252 205 85") fcolor(none)  
> yaxis(2) ylabel(0 (2) 6, axis(2) angle(0)) yscale(alt range(0 8) axis(2) )) 

  Variables that uniquely identify margins: past_ungaUSA

.                         
.                         graph export "graphs/FigureA4.png", replace // 
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/FigureA4.png written in PNG format)

.         
.         *Robust: EBRD
. 
.                 
.                 xtreg  lnODAOOFnetdis_EBRD  votedallwithUSA votednotallwithUSA   l_lngdppcconst lnpop    yearFE*  if oda == 1 
> & p5 == 0  ,  fe cluster(countryid) //  
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE25 omitted because of collinearity
note: yearFE26 omitted because of collinearity
note: yearFE27 omitted because of collinearity
note: yearFE28 omitted because of collinearity
note: yearFE29 omitted because of collinearity
note: yearFE30 omitted because of collinearity
note: yearFE31 omitted because of collinearity
note: yearFE32 omitted because of collinearity
note: yearFE33 omitted because of collinearity
note: yearFE34 omitted because of collinearity
note: yearFE35 omitted because of collinearity
note: yearFE36 omitted because of collinearity
note: yearFE37 omitted because of collinearity
note: yearFE38 omitted because of collinearity
note: yearFE39 omitted because of collinearity
note: yearFE40 omitted because of collinearity
note: yearFE41 omitted because of collinearity
note: yearFE42 omitted because of collinearity
note: yearFE43 omitted because of collinearity
note: yearFE44 omitted because of collinearity
note: yearFE45 omitted because of collinearity
note: yearFE46 omitted because of collinearity
note: yearFE47 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      3,178
Group variable: countryid                       Number of groups  =        149

R-sq:                                           Obs per group:
     within  = 0.0420                                         min =          6
     between = 0.0022                                         avg =       21.3
     overall = 0.0009                                         max =         23

                                                F(26,148)         =       2.32
corr(u_i, Xb)  = -0.9533                        Prob > F          =     0.0009

                                  (Std. Err. adjusted for 149 clusters in countryid)
------------------------------------------------------------------------------------
                   |               Robust
lnODAOOFnetdis_E~D |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
   votedallwithUSA |   .0592901   .1334965     0.44   0.658    -.2045154    .3230956
votednotallwithUSA |   .0541953   .1196558     0.45   0.651    -.1822591    .2906498
    l_lngdppcconst |   .2332736   .1182175     1.97   0.050    -.0003386    .4668858
             lnpop |  -1.002124   .5066428    -1.98   0.050    -2.003312   -.0009359
           yearFE1 |          0  (omitted)
           yearFE2 |          0  (omitted)
           yearFE3 |          0  (omitted)
           yearFE4 |          0  (omitted)
           yearFE5 |          0  (omitted)
           yearFE6 |          0  (omitted)
           yearFE7 |          0  (omitted)
           yearFE8 |          0  (omitted)
           yearFE9 |          0  (omitted)
          yearFE10 |          0  (omitted)
          yearFE11 |          0  (omitted)
          yearFE12 |          0  (omitted)
          yearFE13 |          0  (omitted)
          yearFE14 |          0  (omitted)
          yearFE15 |          0  (omitted)
          yearFE16 |          0  (omitted)
          yearFE17 |          0  (omitted)
          yearFE18 |          0  (omitted)
          yearFE19 |          0  (omitted)
          yearFE20 |          0  (omitted)
          yearFE21 |          0  (omitted)
          yearFE22 |          0  (omitted)
          yearFE23 |          0  (omitted)
          yearFE24 |          0  (omitted)
          yearFE25 |          0  (omitted)
          yearFE26 |          0  (omitted)
          yearFE27 |          0  (omitted)
          yearFE28 |          0  (omitted)
          yearFE29 |          0  (omitted)
          yearFE30 |          0  (omitted)
          yearFE31 |          0  (omitted)
          yearFE32 |          0  (omitted)
          yearFE33 |          0  (omitted)
          yearFE34 |          0  (omitted)
          yearFE35 |          0  (omitted)
          yearFE36 |          0  (omitted)
          yearFE37 |          0  (omitted)
          yearFE38 |          0  (omitted)
          yearFE39 |          0  (omitted)
          yearFE40 |          0  (omitted)
          yearFE41 |          0  (omitted)
          yearFE42 |          0  (omitted)
          yearFE43 |          0  (omitted)
          yearFE44 |          0  (omitted)
          yearFE45 |          0  (omitted)
          yearFE46 |          0  (omitted)
          yearFE47 |          0  (omitted)
          yearFE48 |  -.5788013   .2242773    -2.58   0.011    -1.022001    -.135602
          yearFE49 |   -.482324   .2166331    -2.23   0.027    -.9104176   -.0542304
          yearFE50 |  -.4047528   .2026781    -2.00   0.048    -.8052695   -.0042361
          yearFE51 |  -.3497838    .195569    -1.79   0.076     -.736252    .0366844
          yearFE52 |  -.3521339   .1916096    -1.84   0.068     -.730778    .0265101
          yearFE53 |  -.3808285    .178376    -2.13   0.034    -.7333214   -.0283356
          yearFE54 |  -.3718132   .1685458    -2.21   0.029    -.7048803    -.038746
          yearFE55 |  -.3371917   .1644849    -2.05   0.042     -.662234   -.0121495
          yearFE56 |  -.3476858   .1669559    -2.08   0.039    -.6776112   -.0177604
          yearFE57 |  -.3813008   .1626013    -2.35   0.020    -.7026209   -.0599806
          yearFE58 |  -.3821208   .1542259    -2.48   0.014    -.6868901   -.0773515
          yearFE59 |  -.2835585    .151763    -1.87   0.064    -.5834609    .0163438
          yearFE60 |  -.3210783   .1452323    -2.21   0.029    -.6080751   -.0340816
          yearFE61 |  -.2288265   .1272253    -1.80   0.074    -.4802392    .0225863
          yearFE62 |  -.1836857   .1207225    -1.52   0.130    -.4222481    .0548767
          yearFE63 |  -.0659684   .1239712    -0.53   0.595    -.3109506    .1790138
          yearFE64 |  -.0155147   .1086557    -0.14   0.887    -.2302318    .1992023
          yearFE65 |  -.0305329   .1054553    -0.29   0.773    -.2389255    .1778597
          yearFE66 |  -.0848153   .1004036    -0.84   0.400    -.2832252    .1135946
          yearFE67 |  -.0298114   .1072906    -0.28   0.782    -.2418309    .1822081
          yearFE68 |   .0057336   .1098875     0.05   0.958    -.2114176    .2228848
          yearFE69 |   .0804482   .1012931     0.79   0.428    -.1197193    .2806158
          yearFE70 |          0  (omitted)
             _cons |   14.18508   7.732075     1.83   0.069    -1.094449    29.46461
-------------------+----------------------------------------------------------------
           sigma_u |   2.319445
           sigma_e |  .69815444
               rho |  .91692529   (fraction of variance due to u_i)
------------------------------------------------------------------------------------

.                         est store placebo3

.                         estadd local "Dependent" EBRD loans

added macro:
          e(Dependent) : "EBRD loans"

.                 xtreg  lnODAOOFnetdis_EBRD  votedallwithUSA c.votedallwithUSA#c.past_unga votednotallwithUSA c.votednotallwith
> USA#c.past_unga past_unga                 l_lngdppcconst lnpop    yearFE*  if oda == 1 & p5 == 0  ,  fe cluster(countryid) // 
>  
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE25 omitted because of collinearity
note: yearFE26 omitted because of collinearity
note: yearFE27 omitted because of collinearity
note: yearFE28 omitted because of collinearity
note: yearFE29 omitted because of collinearity
note: yearFE30 omitted because of collinearity
note: yearFE31 omitted because of collinearity
note: yearFE32 omitted because of collinearity
note: yearFE33 omitted because of collinearity
note: yearFE34 omitted because of collinearity
note: yearFE35 omitted because of collinearity
note: yearFE36 omitted because of collinearity
note: yearFE37 omitted because of collinearity
note: yearFE38 omitted because of collinearity
note: yearFE39 omitted because of collinearity
note: yearFE40 omitted because of collinearity
note: yearFE41 omitted because of collinearity
note: yearFE42 omitted because of collinearity
note: yearFE43 omitted because of collinearity
note: yearFE44 omitted because of collinearity
note: yearFE45 omitted because of collinearity
note: yearFE46 omitted because of collinearity
note: yearFE47 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      2,921
Group variable: countryid                       Number of groups  =        149

R-sq:                                           Obs per group:
     within  = 0.0446                                         min =          5
     between = 0.0001                                         avg =       19.6
     overall = 0.0001                                         max =         23

                                                F(29,148)         =       1.78
corr(u_i, Xb)  = -0.9202                        Prob > F          =     0.0141

                                                   (Std. Err. adjusted for 149 clusters in countryid)
-----------------------------------------------------------------------------------------------------
                                    |               Robust
                lnODAOOFnetdis_EBRD |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------------------------+----------------------------------------------------------------
                    votedallwithUSA |  -.0457298   .2587638    -0.18   0.860    -.5570787    .4656191
                                    |
   c.votedallwithUSA#c.past_ungaUSA |   .4922542   .9469602     0.52   0.604    -1.379055    2.363564
                                    |
                 votednotallwithUSA |  -.1167018   .2569049    -0.45   0.650    -.6243773    .3909738
                                    |
c.votednotallwithUSA#c.past_ungaUSA |   1.041478   2.094592     0.50   0.620    -3.097693    5.180648
                                    |
                       past_ungaUSA |   1.237826   .8965199     1.38   0.169    -.5338067     3.00946
                     l_lngdppcconst |   .3348983   .1444543     2.32   0.022     .0494388    .6203577
                              lnpop |  -.7266788   .5777291    -1.26   0.210    -1.868342    .4149847
                            yearFE1 |          0  (omitted)
                            yearFE2 |          0  (omitted)
                            yearFE3 |          0  (omitted)
                            yearFE4 |          0  (omitted)
                            yearFE5 |          0  (omitted)
                            yearFE6 |          0  (omitted)
                            yearFE7 |          0  (omitted)
                            yearFE8 |          0  (omitted)
                            yearFE9 |          0  (omitted)
                           yearFE10 |          0  (omitted)
                           yearFE11 |          0  (omitted)
                           yearFE12 |          0  (omitted)
                           yearFE13 |          0  (omitted)
                           yearFE14 |          0  (omitted)
                           yearFE15 |          0  (omitted)
                           yearFE16 |          0  (omitted)
                           yearFE17 |          0  (omitted)
                           yearFE18 |          0  (omitted)
                           yearFE19 |          0  (omitted)
                           yearFE20 |          0  (omitted)
                           yearFE21 |          0  (omitted)
                           yearFE22 |          0  (omitted)
                           yearFE23 |          0  (omitted)
                           yearFE24 |          0  (omitted)
                           yearFE25 |          0  (omitted)
                           yearFE26 |          0  (omitted)
                           yearFE27 |          0  (omitted)
                           yearFE28 |          0  (omitted)
                           yearFE29 |          0  (omitted)
                           yearFE30 |          0  (omitted)
                           yearFE31 |          0  (omitted)
                           yearFE32 |          0  (omitted)
                           yearFE33 |          0  (omitted)
                           yearFE34 |          0  (omitted)
                           yearFE35 |          0  (omitted)
                           yearFE36 |          0  (omitted)
                           yearFE37 |          0  (omitted)
                           yearFE38 |          0  (omitted)
                           yearFE39 |          0  (omitted)
                           yearFE40 |          0  (omitted)
                           yearFE41 |          0  (omitted)
                           yearFE42 |          0  (omitted)
                           yearFE43 |          0  (omitted)
                           yearFE44 |          0  (omitted)
                           yearFE45 |          0  (omitted)
                           yearFE46 |          0  (omitted)
                           yearFE47 |          0  (omitted)
                           yearFE48 |  -.2579601   .2324451    -1.11   0.269    -.7173001      .20138
                           yearFE49 |  -.2598485   .2309679    -1.13   0.262    -.7162694    .1965724
                           yearFE50 |  -.2751802   .2330075    -1.18   0.239    -.7356316    .1852712
                           yearFE51 |  -.3300262    .227842    -1.45   0.150      -.78027    .1202175
                           yearFE52 |  -.3205491   .2358067    -1.36   0.176    -.7865319    .1454338
                           yearFE53 |  -.3757575   .2327081    -1.61   0.109    -.8356173    .0841022
                           yearFE54 |  -.3705041   .2269573    -1.63   0.105    -.8189995    .0779913
                           yearFE55 |  -.3120009   .2130466    -1.46   0.145    -.7330071    .1090054
                           yearFE56 |   -.307662   .2120413    -1.45   0.149    -.7266817    .1113577
                           yearFE57 |  -.3365181   .2005021    -1.68   0.095    -.7327349    .0596987
                           yearFE58 |  -.3217688   .1803831    -1.78   0.077    -.6782279    .0346903
                           yearFE59 |  -.2036228   .1663796    -1.22   0.223    -.5324092    .1251637
                           yearFE60 |   -.240242   .1494092    -1.61   0.110    -.5354929    .0550089
                           yearFE61 |  -.1059292   .1278372    -0.83   0.409    -.3585511    .1466927
                           yearFE62 |  -.0618725   .1253557    -0.49   0.622    -.3095907    .1858456
                           yearFE63 |     .05979   .1273495     0.47   0.639    -.1918681    .3114482
                           yearFE64 |   .1206644   .1338738     0.90   0.369    -.1438867    .3852154
                           yearFE65 |   .1070715   .1231909     0.87   0.386    -.1363688    .3505118
                           yearFE66 |   .0399602   .1274317     0.31   0.754    -.2118604    .2917808
                           yearFE67 |   .0696035   .1197644     0.58   0.562    -.1670657    .3062728
                           yearFE68 |   .0544035   .1097737     0.50   0.621    -.1625228    .2713299
                           yearFE69 |   .0971244   .1021228     0.95   0.343    -.1046828    .2989316
                           yearFE70 |          0  (omitted)
                              _cons |   8.884715   8.946509     0.99   0.322    -8.794683    26.56411
------------------------------------+----------------------------------------------------------------
                            sigma_u |  1.8741314
                            sigma_e |  .69207739
                                rho |  .87999741   (fraction of variance due to u_i)
-----------------------------------------------------------------------------------------------------

.                         est store placebo4

.                         estadd local "Dependent" EBRD loans

added macro:
          e(Dependent) : "EBRD loans"

.                         margins, dydx(votedallwithUSA) at(past_unga = (0 (0.05) 1))      // 

Average marginal effects                        Number of obs     =      2,921
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : votedallwithUSA

1._at        : past_ungaUSA    =           0

2._at        : past_ungaUSA    =         .05

3._at        : past_ungaUSA    =          .1

4._at        : past_ungaUSA    =         .15

5._at        : past_ungaUSA    =          .2

6._at        : past_ungaUSA    =         .25

7._at        : past_ungaUSA    =          .3

8._at        : past_ungaUSA    =         .35

9._at        : past_ungaUSA    =          .4

10._at       : past_ungaUSA    =         .45

11._at       : past_ungaUSA    =          .5

12._at       : past_ungaUSA    =         .55

13._at       : past_ungaUSA    =          .6

14._at       : past_ungaUSA    =         .65

15._at       : past_ungaUSA    =          .7

16._at       : past_ungaUSA    =         .75

17._at       : past_ungaUSA    =          .8

18._at       : past_ungaUSA    =         .85

19._at       : past_ungaUSA    =          .9

20._at       : past_ungaUSA    =         .95

21._at       : past_ungaUSA    =           1

---------------------------------------------------------------------------------
                |            Delta-method
                |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
votedallwithUSA |
            _at |
             1  |  -.0457298   .2587638    -0.18   0.860    -.5528975    .4614378
             2  |  -.0211171   .2182723    -0.10   0.923    -.4489231    .4066888
             3  |   .0034956    .181137     0.02   0.985    -.3515264    .3585176
             4  |   .0281083   .1498735     0.19   0.851    -.2656384     .321855
             5  |    .052721   .1288302     0.41   0.682    -.1997815    .3052235
             6  |   .0773337   .1233532     0.63   0.531    -.1644341    .3191015
             7  |   .1019464   .1353458     0.75   0.451    -.1633264    .3672193
             8  |   .1265591   .1609491     0.79   0.432    -.1888953    .4420136
             9  |   .1511718   .1948703     0.78   0.438    -.2307669    .5331106
            10  |   .1757845   .2335121     0.75   0.452    -.2818907    .6334598
            11  |   .2003973    .274891     0.73   0.466    -.3383791    .7391736
            12  |     .22501     .31794     0.71   0.479     -.398141     .848161
            13  |   .2496227    .362064     0.69   0.491    -.4600097    .9592551
            14  |   .2742354   .4069133     0.67   0.500    -.5233001    1.071771
            15  |   .2988481   .4522723     0.66   0.509    -.5875894    1.185286
            16  |   .3234608   .4980018     0.65   0.516    -.6526047    1.299526
            17  |   .3480735   .5440082     0.64   0.522     -.718163     1.41431
            18  |   .3726862   .5902269     0.63   0.528    -.7841372     1.52951
            19  |   .3972989   .6366115     0.62   0.533    -.8504367    1.645035
            20  |   .4219116   .6831284     0.62   0.537    -.9169954    1.760819
            21  |   .4465244   .7297522     0.61   0.541    -.9837636    1.876812
---------------------------------------------------------------------------------

.                                 marginsplot, level(95) title(" ", color(black) size(medium)) xtitle("Allied" "(political proxi
> mity to US in previous period)") ytitle("Effect of UNSC, all with US") legend(off) graphregion(color(white)) bgcolor(white)  /
> //
>                                                 ylabel(-3 (1) 3 , nogrid angle(0) axis(1))  yscale(range(-3 3) axis(1)) xscale
> (range(0 1)) xlabel(0 (0.2) 1) plotopts(msize(small) mcolor(black) lcolor(black)) ciopts(lwidth(thin) lcolor(black)) yline(0, 
> lcolor(maroon)) ///
>                                                 addplot(hist past_unga if e(sample) , below color("252 205 85") fcolor(none)  
> yaxis(2) ylabel(0 (2) 6, axis(2) angle(0)) yscale(alt range(0 8) axis(2) )) 

  Variables that uniquely identify margins: past_ungaUSA

.                                 graph export "graphs/FigureA5.png", replace // 
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/FigureA5.png written in PNG format)

.         
.         
. estout placebo* using "tables/TableA6.xls", title("") ///
>  replace delimiter(_tab) label noabbrev style(tab) collabels(none) ///
>  drop( l_lngdppcconst lnpop  _cons ) indicate("Country FE, Year FE, Controls" = yearFE*)   ///
>  order( votedallwithUSA votednotallwithUSA) ///
>  interaction(" x ") ///
>  cells(b(star fmt(3)) se(par([ ]) abs fmt(3))) starlevels(* 0.1 ** 0.05 *** 0.01) ///
>  stats(N r2 Dependent, fmt(0 3 3 0 0) label("Observations" "R-squared" "Dependent Variable"))  ///
>  mlabels("[1]" "[2]" "[3]" "[4]") //
(output written to tables/TableA6.xls)

. 
.         
.         
. * TABLE A7
. 
. xtreg  lnODAnetdis_USA votedallwithUSA_unimp votedallwithUSA_imp votednotallwithUSA_unimp votednotallwithUSA_imp              
>           l_lngdppcconst lnpop  yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      6,141
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1381                                         min =          6
     between = 0.4139                                         avg =       40.4
     overall = 0.2724                                         max =         55

                                                F(60,151)         =       6.07
corr(u_i, Xb)  = -0.8498                        Prob > F          =     0.0000

                                        (Std. Err. adjusted for 152 clusters in countryid)
------------------------------------------------------------------------------------------
                         |               Robust
         lnODAnetdis_USA |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------------+----------------------------------------------------------------
   votedallwithUSA_unimp |   .1413171   .2049593     0.69   0.492    -.2636413    .5462756
     votedallwithUSA_imp |   .4780084   .1277262     3.74   0.000     .2256471    .7303698
votednotallwithUSA_unimp |  -.1245123   .1629882    -0.76   0.446    -.4465442    .1975197
  votednotallwithUSA_imp |   .2535734   .2078235     1.22   0.224    -.1570441    .6641909
          l_lngdppcconst |  -.9533088   .2804387    -3.40   0.001    -1.507399   -.3992184
                   lnpop |   1.231578   .6728402     1.83   0.069     -.097819    2.560975
                 yearFE1 |          0  (omitted)
                 yearFE2 |          0  (omitted)
                 yearFE3 |          0  (omitted)
                 yearFE4 |          0  (omitted)
                 yearFE5 |          0  (omitted)
                 yearFE6 |          0  (omitted)
                 yearFE7 |          0  (omitted)
                 yearFE8 |          0  (omitted)
                 yearFE9 |          0  (omitted)
                yearFE10 |          0  (omitted)
                yearFE11 |          0  (omitted)
                yearFE12 |          0  (omitted)
                yearFE13 |          0  (omitted)
                yearFE14 |          0  (omitted)
                yearFE15 |          0  (omitted)
                yearFE16 |  -.2418699   .9866599    -0.25   0.807    -2.191311    1.707572
                yearFE17 |   .2625747   .9579088     0.27   0.784     -1.63006     2.15521
                yearFE18 |    .232129   .9413451     0.25   0.806     -1.62778    2.092038
                yearFE19 |   .0683989   .9147069     0.07   0.940    -1.738878    1.875676
                yearFE20 |   .3035457   .8928765     0.34   0.734    -1.460599     2.06769
                yearFE21 |   .3792116   .9029463     0.42   0.675    -1.404829    2.163252
                yearFE22 |   .2191229   .8742838     0.25   0.802    -1.508286    1.946532
                yearFE23 |   .0570304   .8624979     0.07   0.947    -1.647092    1.761153
                yearFE24 |  -.1084012   .8295995    -0.13   0.896    -1.747523    1.530721
                yearFE25 |  -.3305063   .8082339    -0.41   0.683    -1.927414    1.266401
                yearFE26 |  -.3405427   .7707167    -0.44   0.659    -1.863324    1.182239
                yearFE27 |  -.3302515   .7521108    -0.44   0.661    -1.816271    1.155768
                yearFE28 |  -.5746931   .7264614    -0.79   0.430    -2.010035    .8606485
                yearFE29 |  -.5523605    .699477    -0.79   0.431    -1.934386    .8296655
                yearFE30 |  -.4514156   .6894366    -0.65   0.514    -1.813604    .9107725
                yearFE31 |  -.5303496   .6657675    -0.80   0.427    -1.845772    .7850731
                yearFE32 |  -.5618282   .6464586    -0.87   0.386      -1.8391     .715444
                yearFE33 |  -.6440772   .6186059    -1.04   0.299    -1.866318    .5781636
                yearFE34 |   -.578016    .599888    -0.96   0.337    -1.763274    .6072421
                yearFE35 |  -.5340743   .5912675    -0.90   0.368      -1.7023    .6341514
                yearFE36 |  -.5790843   .5813554    -1.00   0.321    -1.727726     .569557
                yearFE37 |  -.6503663   .5654928    -1.15   0.252    -1.767666    .4669338
                yearFE38 |  -.5360768   .5503794    -0.97   0.332    -1.623516    .5513622
                yearFE39 |   -.493592   .5421184    -0.91   0.364    -1.564709    .5775249
                yearFE40 |  -.4354818   .5330455    -0.82   0.415    -1.488673    .6177089
                yearFE41 |  -.5197136   .5136104    -1.01   0.313    -1.534504    .4950773
                yearFE42 |  -.6692627   .4938325    -1.36   0.177    -1.644977    .3064511
                yearFE43 |  -.7643888   .4777928    -1.60   0.112    -1.708411    .1796337
                yearFE44 |   -.881739   .4570247    -1.93   0.056    -1.784728    .0212499
                yearFE45 |  -.8602703   .4536866    -1.90   0.060    -1.756664    .0361231
                yearFE46 |  -.8453828   .4345813    -1.95   0.054    -1.704028    .0132626
                yearFE47 |  -.9821285    .407468    -2.41   0.017    -1.787203   -.1770537
                yearFE48 |   -.845343   .3745145    -2.26   0.025    -1.585308   -.1053776
                yearFE49 |  -.8667381   .3856677    -2.25   0.026     -1.62874   -.1047363
                yearFE50 |  -1.012649    .370865    -2.73   0.007    -1.745404   -.2798946
                yearFE51 |  -1.219226   .3486205    -3.50   0.001     -1.90803   -.5304217
                yearFE52 |   -1.26598   .3304246    -3.83   0.000    -1.918832   -.6131269
                yearFE53 |  -1.263944   .3157693    -4.00   0.000     -1.88784    -.640047
                yearFE54 |  -.9818125   .2907202    -3.38   0.001    -1.556217   -.4074078
                yearFE55 |  -.9733418   .2676283    -3.64   0.000    -1.502122    -.444562
                yearFE56 |   -.827839   .2534876    -3.27   0.001     -1.32868   -.3269984
                yearFE57 |  -.5650255   .2452399    -2.30   0.023     -1.04957   -.0804808
                yearFE58 |  -.4744337    .247692    -1.92   0.057    -.9638234     .014956
                yearFE59 |  -.4628432   .2341269    -1.98   0.050    -.9254308   -.0002556
                yearFE60 |  -.3058921   .2115952    -1.45   0.150    -.7239617    .1121774
                yearFE61 |  -.2030827   .1892766    -1.07   0.285    -.5770552    .1708898
                yearFE62 |  -.2586818   .1732106    -1.49   0.137    -.6009111    .0835475
                yearFE63 |  -.0275972   .1524199    -0.18   0.857    -.3287483    .2735539
                yearFE64 |   .0660439    .135182     0.49   0.626    -.2010486    .3331364
                yearFE65 |   .0677549   .1233319     0.55   0.584    -.1759241    .3114339
                yearFE66 |   .0694255   .1094321     0.63   0.527    -.1467904    .2856414
                yearFE67 |   .0603543   .0858797     0.70   0.483    -.1093267    .2300352
                yearFE68 |   .1572551   .0794468     1.98   0.050     .0002842     .314226
                yearFE69 |   .0171825   .0481873     0.36   0.722     -.078026     .112391
                yearFE70 |          0  (omitted)
                   _cons |  -8.742901   11.76163    -0.74   0.458    -31.98152    14.49572
-------------------------+----------------------------------------------------------------
                 sigma_u |  2.2999311
                 sigma_e |   1.346374
                     rho |   .7447734   (fraction of variance due to u_i)
------------------------------------------------------------------------------------------

.         est store vUSnyt                        

.                 estadd local "Dependent" US aid

added macro:
          e(Dependent) : "US aid"

.                 estadd local "Votes" all        

added macro:
              e(Votes) : "all"

. 
. 
. xtreg  lnODAnetdis_USA votedallwithUSA_higoo_nor  votednotallwithUSA_higoo_nor          l_lngdppcconst lnpop  yearFE*  if oda 
> == 1 & p5 == 0 , fe cluster(countryid) // 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      6,141
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1372                                         min =          6
     between = 0.4139                                         avg =       40.4
     overall = 0.2721                                         max =         55

                                                F(58,151)         =       5.98
corr(u_i, Xb)  = -0.8506                        Prob > F          =     0.0000

                                            (Std. Err. adjusted for 152 clusters in countryid)
----------------------------------------------------------------------------------------------
                             |               Robust
             lnODAnetdis_USA |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------------+----------------------------------------------------------------
   votedallwithUSA_higoo_nor |    .322187   .1130096     2.85   0.005     .0989028    .5454712
votednotallwithUSA_higoo_nor |   .0299907   .1378471     0.22   0.828    -.2423675    .3023489
              l_lngdppcconst |  -.9542036   .2807266    -3.40   0.001    -1.508863   -.3995442
                       lnpop |    1.23444    .673023     1.83   0.069    -.0953181    2.564198
                     yearFE1 |          0  (omitted)
                     yearFE2 |          0  (omitted)
                     yearFE3 |          0  (omitted)
                     yearFE4 |          0  (omitted)
                     yearFE5 |          0  (omitted)
                     yearFE6 |          0  (omitted)
                     yearFE7 |          0  (omitted)
                     yearFE8 |          0  (omitted)
                     yearFE9 |          0  (omitted)
                    yearFE10 |          0  (omitted)
                    yearFE11 |          0  (omitted)
                    yearFE12 |          0  (omitted)
                    yearFE13 |          0  (omitted)
                    yearFE14 |          0  (omitted)
                    yearFE15 |          0  (omitted)
                    yearFE16 |  -.2183182   .9884353    -0.22   0.825    -2.171268    1.734631
                    yearFE17 |   .2631106   .9578747     0.27   0.784    -1.629457    2.155678
                    yearFE18 |   .2326141    .941852     0.25   0.805    -1.628296    2.093524
                    yearFE19 |   .0860908   .9158996     0.09   0.925    -1.723543    1.895724
                    yearFE20 |   .3234528   .8935428     0.36   0.718    -1.442008    2.088914
                    yearFE21 |   .3964629   .9040228     0.44   0.662    -1.389704     2.18263
                    yearFE22 |   .2378331    .875321     0.27   0.786    -1.491625    1.967291
                    yearFE23 |   .0797127   .8630055     0.09   0.927    -1.625413    1.784838
                    yearFE24 |  -.1140546   .8303244    -0.14   0.891    -1.754609    1.526499
                    yearFE25 |  -.3325291   .8086022    -0.41   0.681    -1.930164    1.265106
                    yearFE26 |  -.3225004   .7716682    -0.42   0.677    -1.847162    1.202161
                    yearFE27 |  -.3275278   .7523501    -0.44   0.664     -1.81402    1.158965
                    yearFE28 |  -.5480854    .728361    -0.75   0.453     -1.98718    .8910096
                    yearFE29 |  -.5553132   .6994387    -0.79   0.428    -1.937263    .8266371
                    yearFE30 |  -.4503636   .6899723    -0.65   0.515     -1.81361    .9128828
                    yearFE31 |  -.5272815   .6664949    -0.79   0.430    -1.844141    .7895785
                    yearFE32 |  -.5621957   .6472782    -0.87   0.386    -1.841087    .7166959
                    yearFE33 |  -.6456878    .618554    -1.04   0.298    -1.867826    .5764506
                    yearFE34 |  -.5560162   .6012236    -0.92   0.357    -1.743913    .6318808
                    yearFE35 |   -.505476   .5926974    -0.85   0.395    -1.676527    .6655748
                    yearFE36 |  -.5768811   .5820512    -0.99   0.323    -1.726897     .573135
                    yearFE37 |  -.6299371    .566338    -1.11   0.268    -1.748907     .489033
                    yearFE38 |  -.5380635   .5508863    -0.98   0.330    -1.626504    .5503771
                    yearFE39 |  -.4954057   .5426619    -0.91   0.363    -1.567597    .5767851
                    yearFE40 |  -.4356222   .5335977    -0.82   0.416    -1.489904    .6186595
                    yearFE41 |  -.5197555    .514356    -1.01   0.314    -1.536019    .4965085
                    yearFE42 |  -.6678336   .4943491    -1.35   0.179    -1.644568    .3089008
                    yearFE43 |  -.7626616   .4783173    -1.59   0.113     -1.70772    .1823972
                    yearFE44 |   -.881222   .4580238    -1.92   0.056    -1.786185    .0237409
                    yearFE45 |  -.8395826   .4535919    -1.85   0.066    -1.735789    .0566238
                    yearFE46 |  -.8249393   .4349266    -1.90   0.060    -1.684267    .0343882
                    yearFE47 |  -.9647657   .4073967    -2.37   0.019      -1.7697   -.1598317
                    yearFE48 |  -.8280859   .3746154    -2.21   0.029    -1.568251   -.0879212
                    yearFE49 |  -.8469495   .3858872    -2.19   0.030    -1.609385    -.084514
                    yearFE50 |  -1.012617   .3700638    -2.74   0.007    -1.743789   -.2814453
                    yearFE51 |  -1.219077   .3480121    -3.50   0.001    -1.906679   -.5314748
                    yearFE52 |  -1.264699   .3300586    -3.83   0.000    -1.916829   -.6125695
                    yearFE53 |  -1.247592   .3148588    -3.96   0.000     -1.86969   -.6254943
                    yearFE54 |  -.9639366   .2897057    -3.33   0.001    -1.536337   -.3915365
                    yearFE55 |  -.9741706   .2680524    -3.63   0.000    -1.503788    -.444553
                    yearFE56 |  -.8263012   .2535258    -3.26   0.001    -1.327217   -.3253851
                    yearFE57 |  -.5471005   .2439985    -2.24   0.026    -1.029192   -.0650086
                    yearFE58 |  -.4550714   .2467096    -1.84   0.067    -.9425199    .0323772
                    yearFE59 |  -.4414397   .2329772    -1.89   0.060    -.9017558    .0188763
                    yearFE60 |  -.3058339   .2118734    -1.44   0.151    -.7244531    .1127853
                    yearFE61 |  -.1858218   .1887464    -0.98   0.326    -.5587467    .1871032
                    yearFE62 |  -.2421221   .1714533    -1.41   0.160    -.5808795    .0966352
                    yearFE63 |  -.0284768   .1530784    -0.19   0.853    -.3309289    .2739752
                    yearFE64 |   .0626948   .1366712     0.46   0.647      -.20734    .3327296
                    yearFE65 |   .0665188   .1241959     0.54   0.593    -.1788673    .3119048
                    yearFE66 |    .091905    .107492     0.85   0.394    -.1204775    .3042875
                    yearFE67 |   .0789667   .0845935     0.93   0.352    -.0881731    .2461065
                    yearFE68 |   .1744151   .0784116     2.22   0.028     .0194896    .3293407
                    yearFE69 |   .0330967   .0480163     0.69   0.492    -.0617739    .1279673
                    yearFE70 |          0  (omitted)
                       _cons |  -8.789715   11.76303    -0.75   0.456     -32.0311    14.45167
-----------------------------+----------------------------------------------------------------
                     sigma_u |  2.3052781
                     sigma_e |  1.3468929
                         rho |  .74550903   (fraction of variance due to u_i)
----------------------------------------------------------------------------------------------

.         est store vUSimp

.                 estadd local "Dependent" US aid

added macro:
          e(Dependent) : "US aid"

.                 estadd local "Votes" Google important

added macro:
              e(Votes) : "Google important"

.                 
.                 
. xtreg  lnODAnetdis_USA votedallwithUSA_isr votednotallwithUSA_isr                                                             
>                                           l_lngdppcconst lnpop  yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE32 omitted because of collinearity
note: yearFE39 omitted because of collinearity
note: yearFE52 omitted because of collinearity
note: yearFE53 omitted because of collinearity
note: yearFE54 omitted because of collinearity
note: yearFE60 omitted because of collinearity
note: yearFE62 omitted because of collinearity
note: yearFE65 omitted because of collinearity
note: yearFE66 omitted because of collinearity
note: yearFE67 omitted because of collinearity
note: yearFE68 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      4,457
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1196                                         min =          3
     between = 0.3868                                         avg =       29.3
     overall = 0.2506                                         max =         42

                                                F(45,151)         =       7.39
corr(u_i, Xb)  = -0.8671                        Prob > F          =     0.0000

                                      (Std. Err. adjusted for 152 clusters in countryid)
----------------------------------------------------------------------------------------
                       |               Robust
       lnODAnetdis_USA |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------+----------------------------------------------------------------
   votedallwithUSA_isr |   .5832598   .1822661     3.20   0.002     .2231386    .9433809
votednotallwithUSA_isr |  -.0033761   .1342933    -0.03   0.980    -.2687126    .2619605
        l_lngdppcconst |  -1.092915   .3115328    -3.51   0.001    -1.708441   -.4773885
                 lnpop |   1.282148   .7144289     1.79   0.075    -.1294198    2.693716
               yearFE1 |          0  (omitted)
               yearFE2 |          0  (omitted)
               yearFE3 |          0  (omitted)
               yearFE4 |          0  (omitted)
               yearFE5 |          0  (omitted)
               yearFE6 |          0  (omitted)
               yearFE7 |          0  (omitted)
               yearFE8 |          0  (omitted)
               yearFE9 |          0  (omitted)
              yearFE10 |          0  (omitted)
              yearFE11 |          0  (omitted)
              yearFE12 |          0  (omitted)
              yearFE13 |          0  (omitted)
              yearFE14 |          0  (omitted)
              yearFE15 |          0  (omitted)
              yearFE16 |  -.4497793   .9746507    -0.46   0.645    -2.375493    1.475934
              yearFE17 |   .0411829   .9433416     0.04   0.965     -1.82267    1.905036
              yearFE18 |  -.0408267   .9283304    -0.04   0.965    -1.875021    1.793367
              yearFE19 |  -.1288555   .9020041    -0.14   0.887    -1.911034    1.653323
              yearFE20 |          0  (omitted)
              yearFE21 |   .1887424   .8814775     0.21   0.831     -1.55288    1.930365
              yearFE22 |   .0154559   .8506181     0.02   0.986    -1.665194    1.696106
              yearFE23 |    -.14595   .8388759    -0.17   0.862      -1.8034      1.5115
              yearFE24 |  -.3331915   .8086341    -0.41   0.681     -1.93089    1.264507
              yearFE25 |  -.5600297   .7856314    -0.71   0.477    -2.112279    .9922199
              yearFE26 |  -.5202339   .7477516    -0.70   0.488    -1.997641    .9571728
              yearFE27 |  -.5265364   .7272897    -0.72   0.470    -1.963515    .9104417
              yearFE28 |  -.7259004   .7025337    -1.03   0.303    -2.113966    .6621649
              yearFE29 |  -.7346787   .6702959    -1.10   0.275    -2.059049    .5896912
              yearFE30 |  -.6306164   .6633967    -0.95   0.343    -1.941355     .680122
              yearFE31 |  -.7024553   .6367053    -1.10   0.272    -1.960457    .5555463
              yearFE32 |          0  (omitted)
              yearFE33 |  -.8393556   .5885972    -1.43   0.156    -2.002305    .3235941
              yearFE34 |  -.7434522   .5701792    -1.30   0.194    -1.870012    .3831073
              yearFE35 |  -.6786871   .5647302    -1.20   0.231     -1.79448    .4371062
              yearFE36 |  -.7678074   .5545734    -1.38   0.168    -1.863533    .3279181
              yearFE37 |  -.7812252   .5380616    -1.45   0.149    -1.844327    .2818762
              yearFE38 |  -.6795094   .5217618    -1.30   0.195    -1.710406     .351387
              yearFE39 |          0  (omitted)
              yearFE40 |  -.6145056    .504109    -1.22   0.225    -1.610524    .3815125
              yearFE41 |  -.6618222   .4858663    -1.36   0.175    -1.621796     .298152
              yearFE42 |  -.7773175   .4667517    -1.67   0.098    -1.699525    .1448899
              yearFE43 |  -.8924993   .4457231    -2.00   0.047    -1.773159     -.01184
              yearFE44 |  -.9400238   .4213543    -2.23   0.027    -1.772535   -.1075125
              yearFE45 |  -.9675133   .4174907    -2.32   0.022    -1.792391   -.1426357
              yearFE46 |  -.9695111   .4003277    -2.42   0.017    -1.760478   -.1785441
              yearFE47 |  -1.104092   .3736063    -2.96   0.004    -1.842263   -.3659212
              yearFE48 |  -.9699853   .3441744    -2.82   0.005    -1.650005    -.289966
              yearFE49 |  -.9984421   .3476828    -2.87   0.005    -1.685393   -.3114908
              yearFE50 |  -1.142605   .3348854    -3.41   0.001    -1.804271   -.4809385
              yearFE51 |  -1.337886   .3089503    -4.33   0.000    -1.948309   -.7274623
              yearFE52 |          0  (omitted)
              yearFE53 |          0  (omitted)
              yearFE54 |          0  (omitted)
              yearFE55 |  -1.037303   .2359215    -4.40   0.000    -1.503436   -.5711695
              yearFE56 |  -.9446765     .22236    -4.25   0.000    -1.384015   -.5053379
              yearFE57 |  -.6669096   .2131824    -3.13   0.002    -1.088115    -.245704
              yearFE58 |  -.5688286   .2076094    -2.74   0.007     -.979023   -.1586342
              yearFE59 |  -.5550025   .1957184    -2.84   0.005    -.9417027   -.1683023
              yearFE60 |          0  (omitted)
              yearFE61 |  -.2925686     .14314    -2.04   0.043    -.5753845   -.0097528
              yearFE62 |          0  (omitted)
              yearFE63 |  -.1539695   .1074147    -1.43   0.154    -.3661993    .0582603
              yearFE64 |   .0218795   .0914512     0.24   0.811    -.1588098    .2025687
              yearFE65 |          0  (omitted)
              yearFE66 |          0  (omitted)
              yearFE67 |          0  (omitted)
              yearFE68 |          0  (omitted)
              yearFE69 |          0  (omitted)
              yearFE70 |          0  (omitted)
                 _cons |  -8.368117   12.37651    -0.68   0.500    -32.82162    16.08538
-----------------------+----------------------------------------------------------------
               sigma_u |  2.4916965
               sigma_e |  1.3722712
                   rho |  .76727597   (fraction of variance due to u_i)
----------------------------------------------------------------------------------------

.         est store vUSisr

.                 estadd local "Dependent" US aid

added macro:
          e(Dependent) : "US aid"

.                 estadd local "Votes" related to Israel

added macro:
              e(Votes) : "related to Israel"

.                         
. xtreg  lnODAnetdis_USA unsc c.unsc#c.voteagainstUSA_cymean                                                                    
>                                                   l_lngdppcconst lnpop  yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      6,141
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1371                                         min =          6
     between = 0.4141                                         avg =       40.4
     overall = 0.2722                                         max =         55

                                                F(58,151)         =       5.60
corr(u_i, Xb)  = -0.8510                        Prob > F          =     0.0000

                                              (Std. Err. adjusted for 152 clusters in countryid)
------------------------------------------------------------------------------------------------
                               |               Robust
               lnODAnetdis_USA |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------------------+----------------------------------------------------------------
                          unsc |   .2558885    .113299     2.26   0.025     .0320324    .4797445
                               |
c.unsc#c.voteagainstUSA_cymean |  -1.393431   .8042018    -1.73   0.085    -2.982373    .1955097
                               |
                l_lngdppcconst |  -.9556635   .2807488    -3.40   0.001    -1.510367   -.4009603
                         lnpop |   1.235568   .6732412     1.84   0.068    -.0946213    2.565757
                       yearFE1 |          0  (omitted)
                       yearFE2 |          0  (omitted)
                       yearFE3 |          0  (omitted)
                       yearFE4 |          0  (omitted)
                       yearFE5 |          0  (omitted)
                       yearFE6 |          0  (omitted)
                       yearFE7 |          0  (omitted)
                       yearFE8 |          0  (omitted)
                       yearFE9 |          0  (omitted)
                      yearFE10 |          0  (omitted)
                      yearFE11 |          0  (omitted)
                      yearFE12 |          0  (omitted)
                      yearFE13 |          0  (omitted)
                      yearFE14 |          0  (omitted)
                      yearFE15 |          0  (omitted)
                      yearFE16 |  -.2165928   .9892022    -0.22   0.827    -2.171057    1.737872
                      yearFE17 |   .2636972   .9583039     0.28   0.784    -1.629719    2.157113
                      yearFE18 |   .2332036   .9420458     0.25   0.805    -1.628089    2.094497
                      yearFE19 |   .0857197   .9161065     0.09   0.926    -1.724323    1.895762
                      yearFE20 |    .324059   .8936062     0.36   0.717    -1.441527    2.089645
                      yearFE21 |   .3960235   .9044044     0.44   0.662    -1.390898    2.182945
                      yearFE22 |   .2381051   .8757166     0.27   0.786    -1.492135    1.968345
                      yearFE23 |   .0816907   .8632516     0.09   0.925    -1.623921    1.787302
                      yearFE24 |   -.111313   .8306397    -0.13   0.894     -1.75249    1.529864
                      yearFE25 |  -.3353942   .8086954    -0.41   0.679    -1.933214    1.262425
                      yearFE26 |  -.3223497   .7719983    -0.42   0.677    -1.847663    1.202964
                      yearFE27 |  -.3272273   .7526417    -0.43   0.664    -1.814296    1.159841
                      yearFE28 |  -.5496614   .7285131    -0.75   0.452    -1.989057    .8897341
                      yearFE29 |  -.5653816   .6989337    -0.81   0.420    -1.946334    .8155707
                      yearFE30 |  -.4467832   .6906346    -0.65   0.519    -1.811338     .917772
                      yearFE31 |  -.5224555   .6668124    -0.78   0.435    -1.839943    .7950318
                      yearFE32 |  -.5673885   .6472393    -0.88   0.382    -1.846203    .7114261
                      yearFE33 |  -.6443991    .618632    -1.04   0.299    -1.866692    .5778934
                      yearFE34 |  -.5539951   .6013907    -0.92   0.358    -1.742222    .6342319
                      yearFE35 |  -.5194475   .5921088    -0.88   0.382    -1.689335    .6504405
                      yearFE36 |  -.5760422   .5823676    -0.99   0.324    -1.726683     .574599
                      yearFE37 |  -.6305374   .5666642    -1.11   0.268    -1.750152     .489077
                      yearFE38 |  -.5448069   .5509758    -0.99   0.324    -1.633424    .5438105
                      yearFE39 |  -.4993766   .5430477    -0.92   0.359     -1.57233    .5735765
                      yearFE40 |  -.4292808   .5345972    -0.80   0.423    -1.485537    .6269758
                      yearFE41 |  -.5019234   .5161122    -0.97   0.332    -1.521657    .5178105
                      yearFE42 |  -.6725418   .4945386    -1.36   0.176    -1.649651    .3045671
                      yearFE43 |  -.7596266   .4789991    -1.59   0.115    -1.706033    .1867793
                      yearFE44 |  -.8803216   .4583651    -1.92   0.057    -1.785959    .0253156
                      yearFE45 |   -.849366   .4535468    -1.87   0.063    -1.745483    .0467514
                      yearFE46 |  -.8291254   .4347751    -1.91   0.058    -1.688154    .0299028
                      yearFE47 |  -.9648485   .4072972    -2.37   0.019    -1.769586   -.1601111
                      yearFE48 |  -.8283264   .3743412    -2.21   0.028    -1.567949   -.0887035
                      yearFE49 |  -.8528159   .3860308    -2.21   0.029    -1.615535   -.0900966
                      yearFE50 |  -1.028333   .3694019    -2.78   0.006    -1.758196   -.2984686
                      yearFE51 |  -1.234457   .3473488    -3.55   0.001    -1.920749   -.5481659
                      yearFE52 |  -1.277543   .3299611    -3.87   0.000     -1.92948   -.6256068
                      yearFE53 |  -1.248421   .3147567    -3.97   0.000    -1.870317   -.6265252
                      yearFE54 |  -.9661772   .2895901    -3.34   0.001    -1.538349   -.3940054
                      yearFE55 |  -.9761971   .2678458    -3.64   0.000    -1.505406   -.4469877
                      yearFE56 |  -.8385757   .2536876    -3.31   0.001    -1.339811     -.33734
                      yearFE57 |  -.5567641   .2439696    -2.28   0.024    -1.038799   -.0747292
                      yearFE58 |  -.4659266   .2465758    -1.89   0.061    -.9531108    .0212576
                      yearFE59 |  -.4536586   .2328884    -1.95   0.053    -.9137993    .0064821
                      yearFE60 |  -.3061743    .211718    -1.45   0.150    -.7244865    .1121379
                      yearFE61 |  -.1965967   .1883276    -1.04   0.298    -.5686942    .1755007
                      yearFE62 |  -.2444863   .1714284    -1.43   0.156    -.5831943    .0942217
                      yearFE63 |  -.0338258   .1527188    -0.22   0.825    -.3355674    .2679158
                      yearFE64 |   .0618838   .1361353     0.45   0.650    -.2070923    .3308598
                      yearFE65 |   .0635698    .123996     0.51   0.609    -.1814214     .308561
                      yearFE66 |   .0764167    .106674     0.72   0.475    -.1343497    .2871831
                      yearFE67 |   .0799186   .0844098     0.95   0.345    -.0868581    .2466954
                      yearFE68 |   .1748143   .0783776     2.23   0.027     .0199559    .3296726
                      yearFE69 |   .0329913    .048019     0.69   0.493    -.0618846    .1278671
                      yearFE70 |          0  (omitted)
                         _cons |   -8.79263   11.76357    -0.75   0.456    -32.03507    14.44981
-------------------------------+----------------------------------------------------------------
                       sigma_u |  2.3082059
                       sigma_e |   1.346956
                           rho |  .74597257   (fraction of variance due to u_i)
------------------------------------------------------------------------------------------------

.         est store vUSvot

.                 estadd local "Dependent" US aid

added macro:
          e(Dependent) : "US aid"

.                 estadd local "Votes" all        

added macro:
              e(Votes) : "all"

. 
. xtreg  IMFcommitments_lny votedallwithUSA_unimp votedallwithUSA_imp votednotallwithUSA_unimp votednotallwithUSA_imp           
>           l_lngdppcconst lnpop pastIMF  yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,825
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1245                                         min =          6
     between = 0.2832                                         avg =       38.3
     overall = 0.1407                                         max =         54

                                                F(60,151)         =       9.80
corr(u_i, Xb)  = -0.2147                        Prob > F          =     0.0000

                                        (Std. Err. adjusted for 152 clusters in countryid)
------------------------------------------------------------------------------------------
                         |               Robust
      IMFcommitments_lny |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------------+----------------------------------------------------------------
   votedallwithUSA_unimp |   .1110695   .3176353     0.35   0.727     -.516514    .7386531
     votedallwithUSA_imp |   .5781757   .2423382     2.39   0.018     .0993641    1.056987
votednotallwithUSA_unimp |  -.1934216   .2018866    -0.96   0.340     -.592309    .2054657
  votednotallwithUSA_imp |  -.2674971    .261785    -1.02   0.309    -.7847315    .2497374
          l_lngdppcconst |  -.3392586   .1276221    -2.66   0.009    -.5914143   -.0871029
                   lnpop |  -.0117162   .3934071    -0.03   0.976    -.7890095     .765577
                 pastIMF |   1.527552    .158685     9.63   0.000     1.214023    1.841082
                 yearFE1 |          0  (omitted)
                 yearFE2 |          0  (omitted)
                 yearFE3 |          0  (omitted)
                 yearFE4 |          0  (omitted)
                 yearFE5 |          0  (omitted)
                 yearFE6 |          0  (omitted)
                 yearFE7 |          0  (omitted)
                 yearFE8 |          0  (omitted)
                 yearFE9 |          0  (omitted)
                yearFE10 |          0  (omitted)
                yearFE11 |          0  (omitted)
                yearFE12 |          0  (omitted)
                yearFE13 |          0  (omitted)
                yearFE14 |          0  (omitted)
                yearFE15 |          0  (omitted)
                yearFE16 |   .0253854   .5352655     0.05   0.962    -1.032192    1.082962
                yearFE17 |  -.3034997   .5247953    -0.58   0.564     -1.34039    .7333903
                yearFE18 |  -.3312077   .5383682    -0.62   0.539    -1.394915    .7324997
                yearFE19 |  -.3500688   .5194251    -0.67   0.501    -1.376348    .6762109
                yearFE20 |  -.2507407   .5265427    -0.48   0.635    -1.291083    .7896018
                yearFE21 |  -.1924367   .4996762    -0.39   0.701    -1.179696     .794823
                yearFE22 |  -.2175698    .467555    -0.47   0.642    -1.141364    .7062248
                yearFE23 |  -.0886697   .4573655    -0.19   0.847     -.992332    .8149927
                yearFE24 |  -.2789625   .4746154    -0.59   0.558    -1.216707    .6587821
                yearFE25 |  -.3425409   .4551602    -0.75   0.453    -1.241846    .5567641
                yearFE26 |  -.5625415   .4336656    -1.30   0.197    -1.419378    .2942946
                yearFE27 |  -.3407735   .4277011    -0.80   0.427    -1.185825    .5042779
                yearFE28 |   -.458598    .419961    -1.09   0.277    -1.288356    .3711605
                yearFE29 |  -.5079533   .4330234    -1.17   0.243     -1.36352    .3476138
                yearFE30 |  -.5582026   .4119519    -1.36   0.177    -1.372137    .2557315
                yearFE31 |  -.3985716   .4021989    -0.99   0.323    -1.193236    .3960925
                yearFE32 |  -.1063314   .3661539    -0.29   0.772    -.8297779     .617115
                yearFE33 |  -.1999839   .3847712    -0.52   0.604    -.9602143    .5602466
                yearFE34 |   .0539185   .3764903     0.14   0.886    -.6899506    .7977876
                yearFE35 |   .4691787   .3819354     1.23   0.221    -.2854487    1.223806
                yearFE36 |   .5858917   .3797211     1.54   0.125    -.1643608    1.336144
                yearFE37 |   .2201553   .3560522     0.62   0.537    -.4833322    .9236427
                yearFE38 |   .8608752   .3399742     2.53   0.012     .1891545    1.532596
                yearFE39 |   .3690511   .3161271     1.17   0.245    -.2555525    .9936547
                yearFE40 |   .3290272   .3324548     0.99   0.324    -.3278366    .9858911
                yearFE41 |   .2311761   .3016115     0.77   0.445    -.3647476    .8270997
                yearFE42 |   .3293197   .2806931     1.17   0.243    -.2252734    .8839128
                yearFE43 |   .3758257    .310392     1.21   0.228    -.2374466    .9890979
                yearFE44 |   .7033017    .306601     2.29   0.023     .0975198    1.309084
                yearFE45 |   .3797795    .272563     1.39   0.166    -.1587502    .9183091
                yearFE46 |   .4996542   .2651653     1.88   0.061     -.024259    1.023567
                yearFE47 |   .4289538   .2590089     1.66   0.100    -.0827957    .9407032
                yearFE48 |   .1283982   .2800685     0.46   0.647    -.4249607    .6817571
                yearFE49 |   .4339226   .2760317     1.57   0.118    -.1114605    .9793058
                yearFE50 |   .5594556   .2539228     2.20   0.029     .0577551    1.061156
                yearFE51 |   .5649883   .2464586     2.29   0.023     .0780358    1.051941
                yearFE52 |   .5240497   .2681605     1.95   0.053    -.0057815    1.053881
                yearFE53 |   .5347698   .2633615     2.03   0.044     .0144205    1.055119
                yearFE54 |   .5514831    .252506     2.18   0.031      .052582    1.050384
                yearFE55 |   .4971639   .2524483     1.97   0.051    -.0016231    .9959509
                yearFE56 |   .4717355   .2602022     1.81   0.072    -.0423717    .9858427
                yearFE57 |   .2654255   .2571836     1.03   0.304    -.2427176    .7735685
                yearFE58 |   .4301524   .2500456     1.72   0.087    -.0638874    .9241922
                yearFE59 |   .2624811   .2435808     1.08   0.283    -.2187856    .7437478
                yearFE60 |   .0328181   .2425778     0.14   0.893    -.4464668    .5121029
                yearFE61 |  -.1267382   .2322927    -0.55   0.586    -.5857019    .3322254
                yearFE62 |  -.2865977     .23262    -1.23   0.220     -.746208    .1730127
                yearFE63 |  -.0506011   .2079931    -0.24   0.808    -.4615537    .3603515
                yearFE64 |   .4242682   .2433652     1.74   0.083    -.0565725    .9051088
                yearFE65 |   .2881298   .1939392     1.49   0.139    -.0950549    .6713146
                yearFE66 |   .1944212   .2114811     0.92   0.359     -.223423    .6122654
                yearFE67 |   -.027221   .1924695    -0.14   0.888    -.4075021      .35306
                yearFE68 |  -.1787323   .1331729    -1.34   0.182    -.4418552    .0843906
                yearFE69 |          0  (omitted)
                yearFE70 |          0  (omitted)
                   _cons |   2.591768   6.571354     0.39   0.694    -10.39191    15.57544
-------------------------+----------------------------------------------------------------
                 sigma_u |  .80643505
                 sigma_e |  1.6784514
                     rho |  .18755028   (fraction of variance due to u_i)
------------------------------------------------------------------------------------------

.         est store vIMFnyt                       

.                 estadd local "Dependent" IMF loans

added macro:
          e(Dependent) : "IMF loans"

.                 estadd local "Votes" all        

added macro:
              e(Votes) : "all"

. 
. xtreg  IMFcommitments_lny votedallwithUSA_higoo_nor  votednotallwithUSA_higoo_nor               l_lngdppcconst lnpop  pastIMF 
> yearFE*  if oda == 1 & p5 == 0 , fe cluster(countryid) // 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,825
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1239                                         min =          6
     between = 0.2895                                         avg =       38.3
     overall = 0.1414                                         max =         54

                                                F(58,151)         =       9.82
corr(u_i, Xb)  = -0.2172                        Prob > F          =     0.0000

                                            (Std. Err. adjusted for 152 clusters in countryid)
----------------------------------------------------------------------------------------------
                             |               Robust
          IMFcommitments_lny |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------------+----------------------------------------------------------------
   votedallwithUSA_higoo_nor |   .3893119    .171753     2.27   0.025     .0499626    .7286612
votednotallwithUSA_higoo_nor |  -.2042346   .1689267    -1.21   0.229    -.5379997    .1295306
              l_lngdppcconst |  -.3393447   .1276131    -2.66   0.009    -.5914825   -.0872068
                       lnpop |  -.0056079   .3942597    -0.01   0.989    -.7845858      .77337
                     pastIMF |    1.52797   .1581957     9.66   0.000     1.215407    1.840533
                     yearFE1 |          0  (omitted)
                     yearFE2 |          0  (omitted)
                     yearFE3 |          0  (omitted)
                     yearFE4 |          0  (omitted)
                     yearFE5 |          0  (omitted)
                     yearFE6 |          0  (omitted)
                     yearFE7 |          0  (omitted)
                     yearFE8 |          0  (omitted)
                     yearFE9 |          0  (omitted)
                    yearFE10 |          0  (omitted)
                    yearFE11 |          0  (omitted)
                    yearFE12 |          0  (omitted)
                    yearFE13 |          0  (omitted)
                    yearFE14 |          0  (omitted)
                    yearFE15 |          0  (omitted)
                    yearFE16 |   .0365156   .5381075     0.07   0.946    -1.026677    1.099708
                    yearFE17 |  -.3260829   .5179349    -0.63   0.530    -1.349418    .6972524
                    yearFE18 |  -.3536049   .5300574    -0.67   0.506    -1.400892    .6936818
                    yearFE19 |  -.3433762   .5195624    -0.66   0.510    -1.369927    .6831746
                    yearFE20 |  -.2412592   .5275453    -0.46   0.648    -1.283583    .8010643
                    yearFE21 |   -.187114   .4985892    -0.38   0.708    -1.172226     .797998
                    yearFE22 |  -.2103545    .466909    -0.45   0.653    -1.132873    .7121638
                    yearFE23 |  -.0762882   .4587305    -0.17   0.868    -.9826474    .8300711
                    yearFE24 |  -.3103536   .4645875    -0.67   0.505    -1.228285     .607578
                    yearFE25 |  -.3537816   .4512962    -0.78   0.434    -1.245452     .537889
                    yearFE26 |  -.5567956   .4324897    -1.29   0.200    -1.411308    .2977171
                    yearFE27 |  -.3483463   .4242751    -0.82   0.413    -1.186629     .489936
                    yearFE28 |  -.4680811   .4204958    -1.11   0.267    -1.298896     .362734
                    yearFE29 |  -.5153767      .4292    -1.20   0.232     -1.36339    .3326361
                    yearFE30 |  -.5623008     .40979    -1.37   0.172    -1.371964    .2473619
                    yearFE31 |  -.4030352    .401429    -1.00   0.317    -1.196178    .3901077
                    yearFE32 |  -.1106091   .3657015    -0.30   0.763    -.8331617    .6119435
                    yearFE33 |  -.2248832    .379231    -0.59   0.554    -.9741674    .5244011
                    yearFE34 |   .0635202   .3777537     0.17   0.867    -.6828451    .8098855
                    yearFE35 |   .4608371    .382907     1.20   0.231    -.2957102    1.217384
                    yearFE36 |   .5804452   .3778863     1.54   0.127    -.1661821    1.327073
                    yearFE37 |   .2109869   .3554488     0.59   0.554    -.4913085    .9132823
                    yearFE38 |   .8528818   .3384534     2.52   0.013     .1841659    1.521598
                    yearFE39 |   .3636649    .316072     1.15   0.252    -.2608298    .9881597
                    yearFE40 |   .3234867   .3310083     0.98   0.330    -.3305191    .9774924
                    yearFE41 |   .2256919   .3009097     0.75   0.454    -.3688451    .8202289
                    yearFE42 |   .3236269   .2807114     1.15   0.251    -.2310024    .8782561
                    yearFE43 |   .3699939   .3079872     1.20   0.232    -.2385269    .9785147
                    yearFE44 |   .6976684   .3055633     2.28   0.024     .0939367      1.3014
                    yearFE45 |   .3698362   .2718331     1.36   0.176    -.1672513    .9069236
                    yearFE46 |    .498565    .265148     1.88   0.062    -.0253142    1.022444
                    yearFE47 |   .4317017   .2600012     1.66   0.099    -.0820084    .9454117
                    yearFE48 |    .130747   .2800428     0.47   0.641    -.4225613    .6840553
                    yearFE49 |   .4319136   .2757924     1.57   0.119    -.1129967    .9768239
                    yearFE50 |   .5525178   .2542989     2.17   0.031     .0500742    1.054961
                    yearFE51 |   .5576695   .2469479     2.26   0.025     .0697502    1.045589
                    yearFE52 |   .5165522   .2678937     1.93   0.056     -.012752    1.045856
                    yearFE53 |   .5358272   .2637078     2.03   0.044     .0147936    1.056861
                    yearFE54 |   .5520046   .2527747     2.18   0.031     .0525725    1.051437
                    yearFE55 |   .4754549   .2527533     1.88   0.062    -.0239349    .9748447
                    yearFE56 |   .4638075    .260002     1.78   0.076    -.0499041    .9775191
                    yearFE57 |   .2564302   .2573993     1.00   0.321     -.252139    .7649994
                    yearFE58 |   .4206363   .2496277     1.69   0.094    -.0725778    .9138505
                    yearFE59 |   .2526103   .2415602     1.05   0.297    -.2246641    .7298847
                    yearFE60 |   .0107484    .243056     0.04   0.965    -.4694814    .4909782
                    yearFE61 |  -.1371131   .2308562    -0.59   0.553    -.5932386    .3190124
                    yearFE62 |  -.2881665   .2327472    -1.24   0.218    -.7480282    .1716952
                    yearFE63 |  -.0687407   .2070733    -0.33   0.740    -.4778759    .3403946
                    yearFE64 |   .3994165   .2454364     1.63   0.106    -.0855164    .8843495
                    yearFE65 |   .2675676   .1958031     1.37   0.174    -.1192999     .654435
                    yearFE66 |   .1821574   .2087073     0.87   0.384    -.2302061     .594521
                    yearFE67 |  -.0240546   .1915513    -0.13   0.900    -.4025214    .3544122
                    yearFE68 |  -.1771553   .1332199    -1.33   0.186    -.4403711    .0860605
                    yearFE69 |          0  (omitted)
                    yearFE70 |          0  (omitted)
                       _cons |   2.504614   6.584488     0.38   0.704    -10.50501    15.51424
-----------------------------+----------------------------------------------------------------
                     sigma_u |  .80362781
                     sigma_e |   1.678728
                         rho |  .18643992   (fraction of variance due to u_i)
----------------------------------------------------------------------------------------------

.         est store vIMFimp

.         estadd local "Dependent" IMF loans

added macro:
          e(Dependent) : "IMF loans"

.         estadd local "Votes" Google important

added macro:
              e(Votes) : "Google important"

. 
. xtreg  IMFcommitments_lny votedallwithUSA_isr votednotallwithUSA_isr                                                          
>                                                                   l_lngdppcconst lnpop pastIMF yearFE*  if oda == 1 & p5 == 0,
>  fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE32 omitted because of collinearity
note: yearFE39 omitted because of collinearity
note: yearFE52 omitted because of collinearity
note: yearFE53 omitted because of collinearity
note: yearFE54 omitted because of collinearity
note: yearFE60 omitted because of collinearity
note: yearFE62 omitted because of collinearity
note: yearFE65 omitted because of collinearity
note: yearFE66 omitted because of collinearity
note: yearFE67 omitted because of collinearity
note: yearFE68 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      4,284
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1405                                         min =          3
     between = 0.3175                                         avg =       28.2
     overall = 0.1578                                         max =         42

                                                F(46,151)         =       9.38
corr(u_i, Xb)  = -0.2882                        Prob > F          =     0.0000

                                      (Std. Err. adjusted for 152 clusters in countryid)
----------------------------------------------------------------------------------------
                       |               Robust
    IMFcommitments_lny |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------+----------------------------------------------------------------
   votedallwithUSA_isr |   .1161184   .2034934     0.57   0.569    -.2859436    .5181803
votednotallwithUSA_isr |  -.1419045   .2221414    -0.64   0.524    -.5808113    .2970023
        l_lngdppcconst |   -.395307   .1493695    -2.65   0.009    -.6904311   -.1001829
                 lnpop |   .0394419   .4571107     0.09   0.931     -.863717    .9426007
               pastIMF |   1.533624   .1634052     9.39   0.000     1.210769     1.85648
               yearFE1 |          0  (omitted)
               yearFE2 |          0  (omitted)
               yearFE3 |          0  (omitted)
               yearFE4 |          0  (omitted)
               yearFE5 |          0  (omitted)
               yearFE6 |          0  (omitted)
               yearFE7 |          0  (omitted)
               yearFE8 |          0  (omitted)
               yearFE9 |          0  (omitted)
              yearFE10 |          0  (omitted)
              yearFE11 |          0  (omitted)
              yearFE12 |          0  (omitted)
              yearFE13 |          0  (omitted)
              yearFE14 |          0  (omitted)
              yearFE15 |          0  (omitted)
              yearFE16 |   -.104361   .5755723    -0.18   0.856    -1.241576    1.032854
              yearFE17 |  -.4713802   .5526361    -0.85   0.395    -1.563278    .6205177
              yearFE18 |  -.4935594   .5763565    -0.86   0.393    -1.632324    .6452051
              yearFE19 |   -.496545   .5603045    -0.89   0.377    -1.603594    .6105041
              yearFE20 |          0  (omitted)
              yearFE21 |  -.3441505   .5259603    -0.65   0.514    -1.383342    .6950413
              yearFE22 |  -.3601474   .5043373    -0.71   0.476    -1.356616    .6363216
              yearFE23 |  -.2173976   .4888246    -0.44   0.657    -1.183217    .7484215
              yearFE24 |  -.4439348   .4937348    -0.90   0.370    -1.419456    .5315859
              yearFE25 |  -.5245699    .477183    -1.10   0.273    -1.467387    .4182477
              yearFE26 |  -.7051512   .4653773    -1.52   0.132    -1.624643    .2143407
              yearFE27 |  -.5164286   .4630447    -1.12   0.266    -1.431312    .3984546
              yearFE28 |  -.6352852   .4571056    -1.39   0.167    -1.538434    .2678636
              yearFE29 |  -.6792406   .4529944    -1.50   0.136    -1.574266    .2157852
              yearFE30 |  -.7237983   .4326374    -1.67   0.096    -1.578603    .1310063
              yearFE31 |  -.5671207   .4078653    -1.39   0.166     -1.37298    .2387391
              yearFE32 |          0  (omitted)
              yearFE33 |   -.368601   .3954916    -0.93   0.353    -1.150013    .4128109
              yearFE34 |  -.0938807   .3797215    -0.25   0.805     -.844134    .6563726
              yearFE35 |    .298014   .4148832     0.72   0.474    -.5217118     1.11774
              yearFE36 |    .398138   .4090382     0.97   0.332    -.4100392    1.206315
              yearFE37 |   .0391072   .3845484     0.10   0.919     -.720683    .7988975
              yearFE38 |   .7074393    .336588     2.10   0.037     .0424091     1.37247
              yearFE39 |          0  (omitted)
              yearFE40 |   .1230153   .3273007     0.38   0.708    -.5236651    .7696958
              yearFE41 |   .0336011   .3219985     0.10   0.917    -.6026032    .6698053
              yearFE42 |   .0883356   .3045168     0.29   0.772    -.5133283    .6899994
              yearFE43 |   .1798555   .3235703     0.56   0.579    -.4594543    .8191654
              yearFE44 |   .4604651   .3057103     1.51   0.134     -.143557    1.064487
              yearFE45 |   .1811879    .288508     0.63   0.531    -.3888458    .7512217
              yearFE46 |   .3073287   .2493674     1.23   0.220     -.185371    .8000285
              yearFE47 |   .2497454   .2486338     1.00   0.317    -.2415051    .7409959
              yearFE48 |  -.0580916   .2548992    -0.23   0.820    -.5617212     .445538
              yearFE49 |   .2313236   .2744963     0.84   0.401    -.3110259    .7736732
              yearFE50 |   .3482953   .2582575     1.35   0.179    -.1619696    .8585601
              yearFE51 |   .3632962   .2551184     1.42   0.157    -.1407665    .8673588
              yearFE52 |          0  (omitted)
              yearFE53 |          0  (omitted)
              yearFE54 |          0  (omitted)
              yearFE55 |   .2802938   .2505349     1.12   0.265    -.2147128    .7753004
              yearFE56 |     .26189   .2525701     1.04   0.301    -.2371377    .7609177
              yearFE57 |   .0555274    .256731     0.22   0.829    -.4517214    .5627763
              yearFE58 |   .2199735   .2398885     0.92   0.361     -.253998     .693945
              yearFE59 |   .0632886    .217967     0.29   0.772    -.3673705    .4939477
              yearFE60 |          0  (omitted)
              yearFE61 |  -.3207263   .2217775    -1.45   0.150     -.758914    .1174615
              yearFE62 |          0  (omitted)
              yearFE63 |  -.2482612   .2158933    -1.15   0.252    -.6748229    .1783005
              yearFE64 |   .2741587   .2189702     1.25   0.212    -.1584825    .7067998
              yearFE65 |          0  (omitted)
              yearFE66 |          0  (omitted)
              yearFE67 |          0  (omitted)
              yearFE68 |          0  (omitted)
              yearFE69 |          0  (omitted)
              yearFE70 |          0  (omitted)
                 _cons |    2.40884   7.626794     0.32   0.753    -12.66017    17.47785
-----------------------+----------------------------------------------------------------
               sigma_u |  .81256211
               sigma_e |  1.6367352
                   rho |  .19773156   (fraction of variance due to u_i)
----------------------------------------------------------------------------------------

.         est store vIMFisr

.                 estadd local "Dependent" IMF loans

added macro:
          e(Dependent) : "IMF loans"

.                 estadd local "Votes" related to Israel  

added macro:
              e(Votes) : "related to Israel"

.         
. xtreg  IMFcommitments_lny unsc c.unsc#c.voteagainstUSA_cymean                                                                 
>                                                   l_lngdppcconst lnpop pastIMF yearFE*  if oda == 1 & p5 == 0, fe cluster(coun
> tryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,825
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1227                                         min =          6
     between = 0.2965                                         avg =       38.3
     overall = 0.1418                                         max =         54

                                                F(58,151)         =       9.98
corr(u_i, Xb)  = -0.2236                        Prob > F          =     0.0000

                                              (Std. Err. adjusted for 152 clusters in countryid)
------------------------------------------------------------------------------------------------
                               |               Robust
            IMFcommitments_lny |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------------------+----------------------------------------------------------------
                          unsc |   .1554132   .1529179     1.02   0.311    -.1467218    .4575481
                               |
c.unsc#c.voteagainstUSA_cymean |  -1.315376   1.334924    -0.99   0.326    -3.952917    1.322164
                               |
                l_lngdppcconst |  -.3390196   .1273975    -2.66   0.009    -.5907315   -.0873077
                         lnpop |   .0034911   .3936659     0.01   0.993    -.7743137    .7812958
                       pastIMF |   1.534676   .1584609     9.68   0.000      1.22159    1.847763
                       yearFE1 |          0  (omitted)
                       yearFE2 |          0  (omitted)
                       yearFE3 |          0  (omitted)
                       yearFE4 |          0  (omitted)
                       yearFE5 |          0  (omitted)
                       yearFE6 |          0  (omitted)
                       yearFE7 |          0  (omitted)
                       yearFE8 |          0  (omitted)
                       yearFE9 |          0  (omitted)
                      yearFE10 |          0  (omitted)
                      yearFE11 |          0  (omitted)
                      yearFE12 |          0  (omitted)
                      yearFE13 |          0  (omitted)
                      yearFE14 |          0  (omitted)
                      yearFE15 |          0  (omitted)
                      yearFE16 |   .0566991   .5405632     0.10   0.917    -1.011345    1.124743
                      yearFE17 |   -.306359   .5176267    -0.59   0.555    -1.329085    .7163672
                      yearFE18 |  -.3342565    .529575    -0.63   0.529     -1.38059    .7120772
                      yearFE19 |  -.3285647   .5196714    -0.63   0.528    -1.355331    .6982015
                      yearFE20 |   -.223229   .5271888    -0.42   0.673    -1.264848    .8183901
                      yearFE21 |  -.1743404   .4972198    -0.35   0.726    -1.156747     .808066
                      yearFE22 |  -.1955368   .4655468    -0.42   0.675    -1.115364      .72429
                      yearFE23 |  -.0552386   .4588833    -0.12   0.904    -.9618998    .8514226
                      yearFE24 |  -.2865748   .4641741    -0.62   0.538     -1.20369      .63054
                      yearFE25 |  -.3563305   .4512871    -0.79   0.431    -1.247983     .535322
                      yearFE26 |  -.5441253   .4305616    -1.26   0.208    -1.394829    .3065779
                      yearFE27 |  -.3482979   .4252238    -0.82   0.414    -1.188455    .4918589
                      yearFE28 |  -.4783291   .4206325    -1.14   0.257    -1.309414    .3527562
                      yearFE29 |  -.5321132   .4293871    -1.24   0.217    -1.380496    .3162693
                      yearFE30 |  -.5657736   .4091986    -1.38   0.169    -1.374268    .2427206
                      yearFE31 |  -.4035397   .4006629    -1.01   0.315    -1.195169    .3880896
                      yearFE32 |  -.1249356   .3645815    -0.34   0.732    -.8452753    .5954042
                      yearFE33 |  -.2104234   .3793091    -0.55   0.580    -.9598619     .539015
                      yearFE34 |   .0794458   .3775495     0.21   0.834     -.666516    .8254076
                      yearFE35 |   .4379607   .3856989     1.14   0.258    -.3241028    1.200024
                      yearFE36 |   .5729932   .3782227     1.51   0.132    -.1742988    1.320285
                      yearFE37 |   .2022066    .355185     0.57   0.570    -.4995676    .9039807
                      yearFE38 |   .8367874   .3378991     2.48   0.014     .1691668    1.504408
                      yearFE39 |   .3469774   .3144325     1.10   0.272     -.274278    .9682329
                      yearFE40 |   .3181337   .3300787     0.96   0.337    -.3340355     .970303
                      yearFE41 |   .2316367   .2988203     0.78   0.439    -.3587722    .8220455
                      yearFE42 |   .3088603   .2798134     1.10   0.271    -.2439947    .8617154
                      yearFE43 |   .3626629   .3071839     1.18   0.240    -.2442707    .9695965
                      yearFE44 |    .686573   .3038724     2.26   0.025     .0861822    1.286964
                      yearFE45 |   .3494258   .2724145     1.28   0.202    -.1888105    .8876621
                      yearFE46 |   .4944696   .2663465     1.86   0.065    -.0317775    1.020717
                      yearFE47 |   .4369353   .2611041     1.67   0.096     -.078954    .9528245
                      yearFE48 |   .1355517   .2802454     0.48   0.629    -.4181568    .6892602
                      yearFE49 |   .4253766   .2757324     1.54   0.125    -.1194151    .9701682
                      yearFE50 |   .5246292   .2553507     2.05   0.042     .0201076    1.029151
                      yearFE51 |   .5295505   .2467746     2.15   0.033     .0419734    1.017128
                      yearFE52 |   .4917257   .2688293     1.83   0.069     -.039427    1.022878
                      yearFE53 |   .5375063   .2644096     2.03   0.044     .0150861    1.059927
                      yearFE54 |   .5511717   .2536373     2.17   0.031     .0500354    1.052308
                      yearFE55 |   .4748114   .2514914     1.89   0.061    -.0220849    .9717078
                      yearFE56 |   .4389958   .2636741     1.66   0.098    -.0819711    .9599627
                      yearFE57 |   .2376279   .2593092     0.92   0.361    -.2747149    .7499707
                      yearFE58 |   .3996177   .2520279     1.59   0.115    -.0983388    .8975743
                      yearFE59 |   .2288283   .2438657     0.94   0.350    -.2530012    .7106578
                      yearFE60 |   .0125883   .2435927     0.05   0.959    -.4687019    .4938784
                      yearFE61 |  -.1590779   .2333433    -0.68   0.496    -.6201174    .3019617
                      yearFE62 |  -.2916068   .2339149    -1.25   0.214    -.7537756    .1705621
                      yearFE63 |  -.0774094   .2084801    -0.37   0.711    -.4893241    .3345054
                      yearFE64 |   .3994817   .2457499     1.63   0.106    -.0860707    .8850342
                      yearFE65 |   .2630799    .196639     1.34   0.183    -.1254392    .6515989
                      yearFE66 |   .1513042   .2112453     0.72   0.475    -.2660741    .5686825
                      yearFE67 |  -.0201325   .1912367    -0.11   0.916    -.3979777    .3577127
                      yearFE68 |  -.1751667   .1335253    -1.31   0.192     -.438986    .0886525
                      yearFE69 |          0  (omitted)
                      yearFE70 |          0  (omitted)
                         _cons |   2.363132   6.573134     0.36   0.720    -10.62406    15.35032
-------------------------------+----------------------------------------------------------------
                       sigma_u |  .80152046
                       sigma_e |   1.679923
                           rho |  .18542962   (fraction of variance due to u_i)
------------------------------------------------------------------------------------------------

.         est store vIMFvot

.                 estadd local "Dependent" IMF loans

added macro:
          e(Dependent) : "IMF loans"

.                 estadd local "Votes" all        

added macro:
              e(Votes) : "all"

.         
. xtreg  lnWBlend votedallwithUSA_unimp votedallwithUSA_imp votednotallwithUSA_unimp votednotallwithUSA_imp                     
>   l_lngdppcconst lnpop  yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,648
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.0943                                         min =          6
     between = 0.3570                                         avg =       37.2
     overall = 0.1162                                         max =         48

                                                F(53,151)         =       7.00
corr(u_i, Xb)  = -0.7975                        Prob > F          =     0.0000

                                        (Std. Err. adjusted for 152 clusters in countryid)
------------------------------------------------------------------------------------------
                         |               Robust
                lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------------+----------------------------------------------------------------
   votedallwithUSA_unimp |   .4768886     .24445     1.95   0.053    -.0060955    .9598727
     votedallwithUSA_imp |   .3724942    .217469     1.71   0.089    -.0571808    .8021693
votednotallwithUSA_unimp |   .1738694   .1466462     1.19   0.238    -.1158741    .4636129
  votednotallwithUSA_imp |   .0909853   .2190702     0.42   0.678    -.3418534     .523824
          l_lngdppcconst |  -.4925517   .2337591    -2.11   0.037    -.9544126   -.0306907
                   lnpop |  -.5635934   .5722835    -0.98   0.326     -1.69431    .5671238
                 yearFE1 |          0  (omitted)
                 yearFE2 |          0  (omitted)
                 yearFE3 |          0  (omitted)
                 yearFE4 |          0  (omitted)
                 yearFE5 |          0  (omitted)
                 yearFE6 |          0  (omitted)
                 yearFE7 |          0  (omitted)
                 yearFE8 |          0  (omitted)
                 yearFE9 |          0  (omitted)
                yearFE10 |          0  (omitted)
                yearFE11 |          0  (omitted)
                yearFE12 |          0  (omitted)
                yearFE13 |          0  (omitted)
                yearFE14 |          0  (omitted)
                yearFE15 |          0  (omitted)
                yearFE16 |          0  (omitted)
                yearFE17 |          0  (omitted)
                yearFE18 |          0  (omitted)
                yearFE19 |          0  (omitted)
                yearFE20 |          0  (omitted)
                yearFE21 |          0  (omitted)
                yearFE22 |          0  (omitted)
                yearFE23 |  -3.605041   .7236426    -4.98   0.000    -5.034813   -2.175268
                yearFE24 |  -3.284782   .7118352    -4.61   0.000    -4.691226   -1.878339
                yearFE25 |  -2.958813   .7008492    -4.22   0.000     -4.34355   -1.574076
                yearFE26 |  -2.953628   .6818338    -4.33   0.000    -4.300794   -1.606462
                yearFE27 |  -2.735459    .672184    -4.07   0.000    -4.063559   -1.407358
                yearFE28 |  -2.250925   .6537753    -3.44   0.001    -3.542653   -.9591961
                yearFE29 |  -2.177151   .6291344    -3.46   0.001    -3.420194   -.9341079
                yearFE30 |  -1.967107   .6072422    -3.24   0.001    -3.166895   -.7673184
                yearFE31 |  -1.765679   .5835915    -3.03   0.003    -2.918738   -.6126193
                yearFE32 |   -1.84196   .5552536    -3.32   0.001     -2.93903   -.7448909
                yearFE33 |  -1.625675   .5598891    -2.90   0.004    -2.731903   -.5194465
                yearFE34 |  -1.506076   .5270959    -2.86   0.005    -2.547511   -.4646404
                yearFE35 |  -1.317243   .5149917    -2.56   0.012    -2.334763   -.2997227
                yearFE36 |  -1.448925   .5021029    -2.89   0.004    -2.440979   -.4568702
                yearFE37 |  -1.647579   .5082741    -3.24   0.001    -2.651827    -.643332
                yearFE38 |  -1.403872   .4833476    -2.90   0.004     -2.35887   -.4488746
                yearFE39 |  -1.643422   .4873685    -3.37   0.001    -2.606365   -.6804803
                yearFE40 |  -1.410866   .4639098    -3.04   0.003    -2.327459    -.494274
                yearFE41 |  -1.599663   .4542546    -3.52   0.001    -2.497179   -.7021477
                yearFE42 |  -1.577689   .4483463    -3.52   0.001    -2.463531   -.6918469
                yearFE43 |  -1.480477   .4445465    -3.33   0.001    -2.358811   -.6021424
                yearFE44 |  -1.483566   .4369831    -3.40   0.001    -2.346957   -.6201753
                yearFE45 |  -1.437049   .4449235    -3.23   0.002    -2.316128   -.5579694
                yearFE46 |   -1.23861   .4217553    -2.94   0.004    -2.071913   -.4053062
                yearFE47 |  -1.286094    .402844    -3.19   0.002    -2.082033   -.4901551
                yearFE48 |  -1.052494   .3789207    -2.78   0.006    -1.801165   -.3038231
                yearFE49 |  -1.123528   .3492491    -3.22   0.002    -1.813574   -.4334823
                yearFE50 |  -1.185068   .3502116    -3.38   0.001    -1.877016   -.4931207
                yearFE51 |  -1.185042   .3294382    -3.60   0.000    -1.835946   -.5341388
                yearFE52 |  -1.175375   .3210663    -3.66   0.000    -1.809738   -.5410129
                yearFE53 |  -.9609363   .3169821    -3.03   0.003    -1.587229   -.3346434
                yearFE54 |  -1.291485   .3028544    -4.26   0.000    -1.889865    -.693106
                yearFE55 |  -1.263824   .3047231    -4.15   0.000    -1.865895    -.661752
                yearFE56 |  -1.006819   .2838209    -3.55   0.001    -1.567592    -.446046
                yearFE57 |  -1.162045   .3036129    -3.83   0.000    -1.761923   -.5621667
                yearFE58 |   -1.14367   .2760061    -4.14   0.000    -1.689003   -.5983375
                yearFE59 |  -.9614289   .2532724    -3.80   0.000    -1.461844   -.4610135
                yearFE60 |  -1.009813   .2504468    -4.03   0.000    -1.504646   -.5149807
                yearFE61 |  -.9605194    .232133    -4.14   0.000    -1.419167   -.5018714
                yearFE62 |  -.7280031   .2216991    -3.28   0.001    -1.166036   -.2899703
                yearFE63 |   -.466783   .2073439    -2.25   0.026    -.8764527   -.0571132
                yearFE64 |  -.3143556   .2232273    -1.41   0.161     -.755408    .1266967
                yearFE65 |  -.1868748   .2436996    -0.77   0.444    -.6683763    .2946266
                yearFE66 |  -.2901079   .2005595    -1.45   0.150     -.686373    .1061573
                yearFE67 |  -.5033855   .2068303    -2.43   0.016    -.9120405   -.0947304
                yearFE68 |  -.4217422   .1914027    -2.20   0.029    -.7999155    -.043569
                yearFE69 |   .2407865   .2117099     1.14   0.257    -.1775096    .6590826
                yearFE70 |          0  (omitted)
                   _cons |   16.30369   10.08443     1.62   0.108    -3.621112    36.22848
-------------------------+----------------------------------------------------------------
                 sigma_u |  2.6461184
                 sigma_e |  1.6238259
                     rho |  .72643655   (fraction of variance due to u_i)
------------------------------------------------------------------------------------------

.         est store vWBnyt                        

.                 estadd local "Dependent" WB loans

added macro:
          e(Dependent) : "WB loans"

.                 estadd local "Votes" all        

added macro:
              e(Votes) : "all"

. 
. xtreg  lnWBlend votedallwithUSA_higoo_nor  votednotallwithUSA_higoo_nor                                 l_lngdppcconst lnpop  
>  yearFE*  if oda == 1 & p5 == 0  , fe cluster(countryid) // 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,648
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.0942                                         min =          6
     between = 0.3571                                         avg =       37.2
     overall = 0.1162                                         max =         48

                                                F(51,151)         =       7.20
corr(u_i, Xb)  = -0.7974                        Prob > F          =     0.0000

                                            (Std. Err. adjusted for 152 clusters in countryid)
----------------------------------------------------------------------------------------------
                             |               Robust
                    lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------------+----------------------------------------------------------------
   votedallwithUSA_higoo_nor |   .4162687   .1485929     2.80   0.006     .1226791    .7098583
votednotallwithUSA_higoo_nor |   .1418142    .119748     1.18   0.238    -.0947837    .3784121
              l_lngdppcconst |  -.4923984   .2336915    -2.11   0.037    -.9541259    -.030671
                       lnpop |  -.5633327   .5722073    -0.98   0.326    -1.693899    .5672339
                     yearFE1 |          0  (omitted)
                     yearFE2 |          0  (omitted)
                     yearFE3 |          0  (omitted)
                     yearFE4 |          0  (omitted)
                     yearFE5 |          0  (omitted)
                     yearFE6 |          0  (omitted)
                     yearFE7 |          0  (omitted)
                     yearFE8 |          0  (omitted)
                     yearFE9 |          0  (omitted)
                    yearFE10 |          0  (omitted)
                    yearFE11 |          0  (omitted)
                    yearFE12 |          0  (omitted)
                    yearFE13 |          0  (omitted)
                    yearFE14 |          0  (omitted)
                    yearFE15 |          0  (omitted)
                    yearFE16 |          0  (omitted)
                    yearFE17 |          0  (omitted)
                    yearFE18 |          0  (omitted)
                    yearFE19 |          0  (omitted)
                    yearFE20 |          0  (omitted)
                    yearFE21 |          0  (omitted)
                    yearFE22 |          0  (omitted)
                    yearFE23 |  -3.610748   .7213656    -5.01   0.000    -5.036021   -2.185474
                    yearFE24 |  -3.281666    .712282    -4.61   0.000    -4.688992    -1.87434
                    yearFE25 |   -2.95795   .7005626    -4.22   0.000    -4.342121   -1.573779
                    yearFE26 |  -2.958106   .6807178    -4.35   0.000    -4.303068   -1.613145
                    yearFE27 |  -2.735948   .6715979    -4.07   0.000     -4.06289   -1.409005
                    yearFE28 |  -2.256988   .6520679    -3.46   0.001    -3.545343   -.9686326
                    yearFE29 |  -2.176501   .6293051    -3.46   0.001    -3.419882   -.9331207
                    yearFE30 |  -1.967586   .6068022    -3.24   0.001    -3.166505   -.7686665
                    yearFE31 |  -1.766605   .5834683    -3.03   0.003    -2.919421   -.6137887
                    yearFE32 |  -1.842202   .5550601    -3.32   0.001    -2.938889   -.7455149
                    yearFE33 |  -1.624197   .5600265    -2.90   0.004    -2.730696   -.5176968
                    yearFE34 |  -1.511891   .5251175    -2.88   0.005    -2.549418   -.4743648
                    yearFE35 |  -1.324035    .512479    -2.58   0.011     -2.33659   -.3114791
                    yearFE36 |   -1.44981   .5016849    -2.89   0.004    -2.441039   -.4585816
                    yearFE37 |  -1.652484   .5069313    -3.26   0.001    -2.654078   -.6508897
                    yearFE38 |  -1.403735    .483303    -2.90   0.004    -2.358645   -.4488258
                    yearFE39 |  -1.643557   .4875498    -3.37   0.001    -2.606858   -.6802568
                    yearFE40 |  -1.411378   .4634411    -3.05   0.003    -2.327044   -.4957115
                    yearFE41 |  -1.600247   .4534406    -3.53   0.001    -2.496154   -.7043393
                    yearFE42 |  -1.578597   .4483787    -3.52   0.001    -2.464504   -.6926913
                    yearFE43 |  -1.481479   .4444339    -3.33   0.001    -2.359591   -.6033666
                    yearFE44 |  -1.484347   .4374921    -3.39   0.001    -2.348743   -.6199502
                    yearFE45 |  -1.442243   .4431802    -3.25   0.001    -2.317878   -.5666078
                    yearFE46 |  -1.244086   .4198309    -2.96   0.004    -2.073587   -.4145841
                    yearFE47 |  -1.290999    .401326    -3.22   0.002    -2.083939   -.4980597
                    yearFE48 |  -1.057392   .3776339    -2.80   0.006    -1.803521   -.3112634
                    yearFE49 |  -1.128892   .3481013    -3.24   0.001     -1.81667   -.4411138
                    yearFE50 |  -1.185838   .3499723    -3.39   0.001    -1.877313   -.4943629
                    yearFE51 |  -1.185849   .3299294    -3.59   0.000    -1.837723   -.5339745
                    yearFE52 |   -1.17643   .3217289    -3.66   0.000    -1.812101    -.540758
                    yearFE53 |  -.9656863   .3170427    -3.05   0.003    -1.592099   -.3392735
                    yearFE54 |  -1.296596   .3022933    -4.29   0.000    -1.893866   -.6993247
                    yearFE55 |  -1.263371   .3048305    -4.14   0.000    -1.865655   -.6610876
                    yearFE56 |  -1.007977   .2839356    -3.55   0.001    -1.568977   -.4469778
                    yearFE57 |  -1.166871   .3014121    -3.87   0.000    -1.762401   -.5713416
                    yearFE58 |  -1.148836   .2731468    -4.21   0.000    -1.688519   -.6091527
                    yearFE59 |  -.9670971   .2501531    -3.87   0.000    -1.461349   -.4728448
                    yearFE60 |  -1.009607   .2505914    -4.03   0.000    -1.504725    -.514489
                    yearFE61 |  -.9652204   .2296414    -4.20   0.000    -1.418946   -.5114951
                    yearFE62 |  -.7328726   .2190297    -3.35   0.001    -1.165631    -.300114
                    yearFE63 |  -.4667447   .2072619    -2.25   0.026    -.8762525   -.0572368
                    yearFE64 |  -.3161218   .2234117    -1.41   0.159    -.7575385    .1252948
                    yearFE65 |   -.186612   .2440903    -0.76   0.446    -.6688854    .2956614
                    yearFE66 |  -.2960754   .1976987    -1.50   0.136    -.6866883    .0945375
                    yearFE67 |  -.5090003    .202885    -2.51   0.013    -.9098603   -.1081402
                    yearFE68 |  -.4269712   .1901734    -2.25   0.026    -.8027156   -.0512268
                    yearFE69 |   .2358917   .2106245     1.12   0.265    -.1802599    .6520433
                    yearFE70 |          0  (omitted)
                       _cons |   16.30117   10.08196     1.62   0.108    -3.618765     36.2211
-----------------------------+----------------------------------------------------------------
                     sigma_u |  2.6455932
                     sigma_e |  1.6235494
                         rho |  .72642536   (fraction of variance due to u_i)
----------------------------------------------------------------------------------------------

.         est store vWBimp

.         estadd local "Dependent" WB loans

added macro:
          e(Dependent) : "WB loans"

.         estadd local "Votes" important

added macro:
              e(Votes) : "important"

.         
. xtreg  lnWBlend  votedallwithUSA_isr votednotallwithUSA_isr                                                                   
>                                           l_lngdppcconst lnpop  yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE32 omitted because of collinearity
note: yearFE39 omitted because of collinearity
note: yearFE52 omitted because of collinearity
note: yearFE53 omitted because of collinearity
note: yearFE54 omitted because of collinearity
note: yearFE60 omitted because of collinearity
note: yearFE62 omitted because of collinearity
note: yearFE65 omitted because of collinearity
note: yearFE66 omitted because of collinearity
note: yearFE67 omitted because of collinearity
note: yearFE68 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      4,035
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1002                                         min =          3
     between = 0.4279                                         avg =       26.5
     overall = 0.1682                                         max =         36

                                                F(39,151)         =       5.37
corr(u_i, Xb)  = -0.8769                        Prob > F          =     0.0000

                                      (Std. Err. adjusted for 152 clusters in countryid)
----------------------------------------------------------------------------------------
                       |               Robust
              lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------+----------------------------------------------------------------
   votedallwithUSA_isr |   .2280874   .2360645     0.97   0.335    -.2383286    .6945035
votednotallwithUSA_isr |   .0529899   .1814221     0.29   0.771    -.3054637    .4114434
        l_lngdppcconst |  -.5941062    .259658    -2.29   0.024    -1.107138   -.0810742
                 lnpop |  -.8014654   .5933937    -1.35   0.179    -1.973892    .3709613
               yearFE1 |          0  (omitted)
               yearFE2 |          0  (omitted)
               yearFE3 |          0  (omitted)
               yearFE4 |          0  (omitted)
               yearFE5 |          0  (omitted)
               yearFE6 |          0  (omitted)
               yearFE7 |          0  (omitted)
               yearFE8 |          0  (omitted)
               yearFE9 |          0  (omitted)
              yearFE10 |          0  (omitted)
              yearFE11 |          0  (omitted)
              yearFE12 |          0  (omitted)
              yearFE13 |          0  (omitted)
              yearFE14 |          0  (omitted)
              yearFE15 |          0  (omitted)
              yearFE16 |          0  (omitted)
              yearFE17 |          0  (omitted)
              yearFE18 |          0  (omitted)
              yearFE19 |          0  (omitted)
              yearFE20 |          0  (omitted)
              yearFE21 |          0  (omitted)
              yearFE22 |          0  (omitted)
              yearFE23 |  -3.657167    .676225    -5.41   0.000    -4.993252   -2.321083
              yearFE24 |  -3.312282   .6631403    -4.99   0.000    -4.622514    -2.00205
              yearFE25 |  -2.996077   .6499421    -4.61   0.000    -4.280232   -1.711922
              yearFE26 |   -2.98077   .6300453    -4.73   0.000    -4.225613   -1.735927
              yearFE27 |  -2.758389   .6205806    -4.44   0.000    -3.984532   -1.532247
              yearFE28 |  -2.265909   .6057282    -3.74   0.000    -3.462706   -1.069112
              yearFE29 |  -2.175569   .5849747    -3.72   0.000    -3.331362   -1.019777
              yearFE30 |  -1.988895   .5621211    -3.54   0.001    -3.099533   -.8782564
              yearFE31 |  -1.754351   .5349845    -3.28   0.001    -2.811373   -.6973293
              yearFE32 |          0  (omitted)
              yearFE33 |   -1.58932   .5039732    -3.15   0.002     -2.58507     -.59357
              yearFE34 |  -1.479812    .471601    -3.14   0.002      -2.4116   -.5480232
              yearFE35 |  -1.278576   .4658841    -2.74   0.007    -2.199069   -.3580828
              yearFE36 |  -1.392206   .4434522    -3.14   0.002    -2.268378   -.5160332
              yearFE37 |  -1.577463   .4638265    -3.40   0.001    -2.493891   -.6610352
              yearFE38 |  -1.327133   .4262893    -3.11   0.002    -2.169395   -.4848712
              yearFE39 |          0  (omitted)
              yearFE40 |  -1.316401    .419055    -3.14   0.002    -2.144369   -.4884325
              yearFE41 |  -1.482301   .4025531    -3.68   0.000    -2.277665   -.6869367
              yearFE42 |  -1.456829   .3962117    -3.68   0.000    -2.239663   -.6739942
              yearFE43 |  -1.344672   .3804244    -3.53   0.001    -2.096314   -.5930294
              yearFE44 |  -1.401934   .3847769    -3.64   0.000    -2.162175   -.6416918
              yearFE45 |  -1.292007   .3833195    -3.37   0.001    -2.049369   -.5346443
              yearFE46 |  -1.066395   .3526766    -3.02   0.003    -1.763213   -.3695769
              yearFE47 |  -1.101545   .3431368    -3.21   0.002    -1.779514   -.4235752
              yearFE48 |  -.8711522   .3261605    -2.67   0.008     -1.51558   -.2267246
              yearFE49 |  -.9471727   .2926974    -3.24   0.001    -1.525484   -.3688614
              yearFE50 |  -1.001464   .2707522    -3.70   0.000    -1.536416   -.4665127
              yearFE51 |   -.970507   .2637006    -3.68   0.000    -1.491526   -.4494875
              yearFE52 |          0  (omitted)
              yearFE53 |          0  (omitted)
              yearFE54 |          0  (omitted)
              yearFE55 |    -1.0429   .2303788    -4.53   0.000    -1.498082   -.5877176
              yearFE56 |  -.7916778   .2064562    -3.83   0.000    -1.199594   -.3837619
              yearFE57 |   -.941405   .2273329    -4.14   0.000    -1.390569   -.4922409
              yearFE58 |  -.9199242   .2223476    -4.14   0.000    -1.359238     -.48061
              yearFE59 |  -.7312232   .1934473    -3.78   0.000    -1.113436   -.3490102
              yearFE60 |          0  (omitted)
              yearFE61 |  -.7093288   .1808447    -3.92   0.000    -1.066641   -.3520161
              yearFE62 |          0  (omitted)
              yearFE63 |  -.1885476    .163858    -1.15   0.252     -.512298    .1352028
              yearFE64 |  -.0984502   .1714307    -0.57   0.567    -.4371628    .2402624
              yearFE65 |          0  (omitted)
              yearFE66 |          0  (omitted)
              yearFE67 |          0  (omitted)
              yearFE68 |          0  (omitted)
              yearFE69 |          0  (omitted)
              yearFE70 |          0  (omitted)
                 _cons |   20.60615   10.29866     2.00   0.047     .2580587    40.95423
-----------------------+----------------------------------------------------------------
               sigma_u |  3.0716867
               sigma_e |  1.5869092
                   rho |  .78932762   (fraction of variance due to u_i)
----------------------------------------------------------------------------------------

.         est store vWBisr

.                 estadd local "Dependent" WB loans

added macro:
          e(Dependent) : "WB loans"

.                 estadd local "Votes" related to Israel

added macro:
              e(Votes) : "related to Israel"

. 
. xtreg  lnWBlend unsc c.unsc#c.voteagainstUSA_cymean                                                                           
>                                           l_lngdppcconst lnpop  yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,648
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.0939                                         min =          6
     between = 0.3541                                         avg =       37.2
     overall = 0.1145                                         max =         48

                                                F(51,151)         =       7.14
corr(u_i, Xb)  = -0.7944                        Prob > F          =     0.0000

                                              (Std. Err. adjusted for 152 clusters in countryid)
------------------------------------------------------------------------------------------------
                               |               Robust
                      lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------------------+----------------------------------------------------------------
                          unsc |   .2701169   .1271438     2.12   0.035     .0189064    .5213274
                               |
c.unsc#c.voteagainstUSA_cymean |  -.1416134   1.001571    -0.14   0.888    -2.120516     1.83729
                               |
                l_lngdppcconst |  -.4913476   .2336605    -2.10   0.037    -.9530138   -.0296813
                         lnpop |  -.5562017   .5721096    -0.97   0.333    -1.686575    .5741718
                       yearFE1 |          0  (omitted)
                       yearFE2 |          0  (omitted)
                       yearFE3 |          0  (omitted)
                       yearFE4 |          0  (omitted)
                       yearFE5 |          0  (omitted)
                       yearFE6 |          0  (omitted)
                       yearFE7 |          0  (omitted)
                       yearFE8 |          0  (omitted)
                       yearFE9 |          0  (omitted)
                      yearFE10 |          0  (omitted)
                      yearFE11 |          0  (omitted)
                      yearFE12 |          0  (omitted)
                      yearFE13 |          0  (omitted)
                      yearFE14 |          0  (omitted)
                      yearFE15 |          0  (omitted)
                      yearFE16 |          0  (omitted)
                      yearFE17 |          0  (omitted)
                      yearFE18 |          0  (omitted)
                      yearFE19 |          0  (omitted)
                      yearFE20 |          0  (omitted)
                      yearFE21 |          0  (omitted)
                      yearFE22 |          0  (omitted)
                      yearFE23 |  -3.598965    .721288    -4.99   0.000    -5.024085   -2.173845
                      yearFE24 |  -3.268291   .7124681    -4.59   0.000    -4.675985   -1.860597
                      yearFE25 |  -2.959691   .7006705    -4.22   0.000    -4.344075   -1.575307
                      yearFE26 |  -2.951109   .6804214    -4.34   0.000    -4.295485   -1.606733
                      yearFE27 |  -2.737976   .6722225    -4.07   0.000    -4.066152   -1.409799
                      yearFE28 |   -2.26489   .6527216    -3.47   0.001    -3.554537   -.9752438
                      yearFE29 |  -2.183776   .6291727    -3.47   0.001    -3.426894   -.9406568
                      yearFE30 |  -1.974096   .6066469    -3.25   0.001    -3.172708   -.7754838
                      yearFE31 |  -1.771778   .5835329    -3.04   0.003    -2.924722   -.6188347
                      yearFE32 |  -1.850925   .5549882    -3.34   0.001     -2.94747     -.75438
                      yearFE33 |  -1.616167   .5604024    -2.88   0.005     -2.72341    -.508925
                      yearFE34 |   -1.50246   .5256271    -2.86   0.005    -2.540994    -.463927
                      yearFE35 |  -1.333439   .5127169    -2.60   0.010    -2.346464   -.3204136
                      yearFE36 |  -1.456753   .5019148    -2.90   0.004    -2.448436   -.4650708
                      yearFE37 |  -1.659502   .5069859    -3.27   0.001    -2.661204   -.6577999
                      yearFE38 |  -1.412185   .4830357    -2.92   0.004    -2.366567   -.4578037
                      yearFE39 |  -1.654164   .4873537    -3.39   0.001    -2.617077    -.691251
                      yearFE40 |  -1.419981   .4630828    -3.07   0.003     -2.33494   -.5050226
                      yearFE41 |  -1.607603   .4547062    -3.54   0.001    -2.506011   -.7091952
                      yearFE42 |  -1.587224   .4486034    -3.54   0.001    -2.473574   -.7008742
                      yearFE43 |  -1.489345   .4440328    -3.35   0.001    -2.366665   -.6120258
                      yearFE44 |  -1.493387   .4372688    -3.42   0.001    -2.357343   -.6294322
                      yearFE45 |  -1.451665   .4428473    -3.28   0.001    -2.326642   -.5766874
                      yearFE46 |  -1.245034   .4194812    -2.97   0.003    -2.073844    -.416223
                      yearFE47 |  -1.287415   .4018904    -3.20   0.002    -2.081469   -.4933603
                      yearFE48 |  -1.053963    .378091    -2.79   0.006    -1.800995   -.3069314
                      yearFE49 |  -1.130558   .3477453    -3.25   0.001    -1.817633   -.4434834
                      yearFE50 |  -1.197576    .349691    -3.42   0.001    -1.888495   -.5066565
                      yearFE51 |  -1.197895   .3299659    -3.63   0.000    -1.849841   -.5459487
                      yearFE52 |  -1.187583   .3215578    -3.69   0.000    -1.822916   -.5522493
                      yearFE53 |  -.9638745   .3171667    -3.04   0.003    -1.590532   -.3372168
                      yearFE54 |  -1.295795   .3023399    -4.29   0.000    -1.893158   -.6984325
                      yearFE55 |  -1.262613   .3048725    -4.14   0.000     -1.86498   -.6602462
                      yearFE56 |  -1.019356   .2835865    -3.59   0.000    -1.579666   -.4590461
                      yearFE57 |  -1.175397   .3007089    -3.91   0.000    -1.769538   -.5812571
                      yearFE58 |  -1.158278   .2731611    -4.24   0.000    -1.697989   -.6185667
                      yearFE59 |  -.9777474   .2498918    -3.91   0.000    -1.471483   -.4840115
                      yearFE60 |  -1.007976   .2508748    -4.02   0.000    -1.503654   -.5122974
                      yearFE61 |  -.9754964   .2299282    -4.24   0.000    -1.429788   -.5212046
                      yearFE62 |  -.7340904   .2191935    -3.35   0.001    -1.167173   -.3010081
                      yearFE63 |  -.4699845   .2076961    -2.26   0.025    -.8803502   -.0596188
                      yearFE64 |  -.3154033   .2243985    -1.41   0.162    -.7587696     .127963
                      yearFE65 |  -.1880395   .2446917    -0.77   0.443    -.6715011    .2954221
                      yearFE66 |  -.3099446    .197638    -1.57   0.119    -.7004376    .0805484
                      yearFE67 |  -.5063558   .2037059    -2.49   0.014    -.9088376    -.103874
                      yearFE68 |  -.4255208   .1905036    -2.23   0.027    -.8019176    -.049124
                      yearFE69 |   .2360562   .2108477     1.12   0.265    -.1805363    .6526488
                      yearFE70 |          0  (omitted)
                         _cons |   16.18751   10.07987     1.61   0.110    -3.728292    36.10331
-------------------------------+----------------------------------------------------------------
                       sigma_u |   2.632952
                       sigma_e |   1.623858
                           rho |  .72444162   (fraction of variance due to u_i)
------------------------------------------------------------------------------------------------

.         est store vWBvot

.                 estadd local "Dependent" WB loans

added macro:
          e(Dependent) : "WB loans"

.                 estadd local "Votes" all        

added macro:
              e(Votes) : "all"

.         
. estout vUS* vIMF* vWB* using "tables/TableA7.xls", title("") ///
>  replace delimiter(_tab) label noabbrev style(tab) collabels(none) ///
>  drop( l_lngdppcconst lnpop pastIMF _cons ) indicate("Country FE, Year FE, Controls" = yearFE*)   ///
>  order( votedallwithUSA_imp  votedallwithUSA_unimp votednotallwithUSA_imp  votednotallwithUSA_unimp votedallwithUSA_higoo_nor 
>  votednotallwithUSA_higoo_nor  votedallwithUSA_isr votednotallwithUSA_isr  unsc c.unsc#c.voteagainstUSA_cymean) ///
>  cells(b(star fmt(3)) se(par([ ]) abs fmt(3))) starlevels(* 0.1 ** 0.05 *** 0.01) ///
>  stats(N r2 Votes Dependent, fmt(0 3 3 0 0) label("Observations" "R-squared" "UNSC Votes" "Dependent Variable"))  ///
>  mlabels("[1]" "[2]" "[3]" "[4]" "[5]" "[6]" "[7]" "[8]" "[9]" "[10]" "[11]" "[12]") //
(output written to tables/TableA7.xls)

. 
.  
.                  
.                  
.                  
. *Table A8
. 
.                 
.                 xtset countryid year
       panel variable:  countryid (strongly balanced)
        time variable:  year, 1946 to 2015
                delta:  1 unit

.                 sort countryid year

.                 
.                 
. *set sample     
. xtreg  lnODAnetdis_USA  unsc                                                            l_lngdppcconst lnpop   yearFE* if  oda
>  == 1 & p5 == 0 , fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      6,141
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1366                                         min =          6
     between = 0.4136                                         avg =       40.4
     overall = 0.2718                                         max =         55

                                                F(57,151)         =       5.65
corr(u_i, Xb)  = -0.8524                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
lnODAnetdis_~A |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
          unsc |   .1682503   .0991028     1.70   0.092    -.0275569    .3640575
l_lngdppcconst |  -.9526131   .2807172    -3.39   0.001    -1.507254   -.3979724
         lnpop |   1.242384   .6739194     1.84   0.067    -.0891456    2.573913
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |  -.2078522   .9902577    -0.21   0.834    -2.164402    1.748698
      yearFE17 |   .2752491   .9593351     0.29   0.775    -1.620204    2.170702
      yearFE18 |    .244527   .9428301     0.26   0.796    -1.618316     2.10737
      yearFE19 |   .0955476   .9166578     0.10   0.917    -1.715584    1.906679
      yearFE20 |   .3348975   .8945934     0.37   0.709    -1.432639    2.102434
      yearFE21 |   .4050872   .9053564     0.45   0.655    -1.383715    2.193889
      yearFE22 |    .247705   .8765799     0.28   0.778    -1.484241    1.979651
      yearFE23 |   .0932329   .8639013     0.11   0.914    -1.613662    1.800128
      yearFE24 |  -.0988752   .8309426    -0.12   0.905    -1.740651      1.5429
      yearFE25 |  -.3345497   .8086869    -0.41   0.680    -1.932352    1.263253
      yearFE26 |   -.314123   .7723186    -0.41   0.685    -1.840069    1.211823
      yearFE27 |  -.3299364   .7520577    -0.44   0.661    -1.815851    1.155978
      yearFE28 |  -.5575751   .7275398    -0.77   0.445    -1.995048    .8798972
      yearFE29 |   -.563166   .6987731    -0.81   0.422    -1.943801    .8174691
      yearFE30 |  -.4586548   .6894207    -0.67   0.507    -1.820812    .9035019
      yearFE31 |  -.5339648   .6663499    -0.80   0.424    -1.850538    .7826086
      yearFE32 |  -.5721714   .6470641    -0.88   0.378     -1.85064    .7062971
      yearFE33 |  -.6364373   .6190061    -1.03   0.306    -1.859469    .5865942
      yearFE34 |  -.5453113   .6020097    -0.91   0.366    -1.734761    .6441388
      yearFE35 |  -.5154429   .5923507    -0.87   0.386    -1.685809    .6549229
      yearFE36 |   -.585306   .5821943    -1.01   0.316    -1.735605     .564993
      yearFE37 |  -.6382692   .5663609    -1.13   0.262    -1.757284     .480746
      yearFE38 |  -.5476957   .5510848    -0.99   0.322    -1.636528     .541137
      yearFE39 |  -.5079378   .5426129    -0.94   0.351    -1.580032    .5641563
      yearFE40 |  -.4468794   .5333495    -0.84   0.403    -1.500671     .606912
      yearFE41 |  -.5309905   .5143918    -1.03   0.304    -1.547325    .4853443
      yearFE42 |  -.6777223   .4941966    -1.37   0.172    -1.654155    .2987108
      yearFE43 |  -.7725669   .4781435    -1.62   0.108    -1.717282    .1721485
      yearFE44 |  -.8923553     .45819    -1.95   0.053    -1.797647    .0129359
      yearFE45 |  -.8497476   .4537647    -1.87   0.063    -1.746296    .0468002
      yearFE46 |  -.8257845   .4351277    -1.90   0.060    -1.685509    .0339403
      yearFE47 |  -.9605777    .407518    -2.36   0.020    -1.765751    -.155404
      yearFE48 |  -.8240529   .3743637    -2.20   0.029     -1.56372   -.0843856
      yearFE49 |  -.8483994    .386336    -2.20   0.030    -1.611722   -.0850772
      yearFE50 |  -1.024877   .3697186    -2.77   0.006    -1.755367   -.2943873
      yearFE51 |  -1.231696    .347553    -3.54   0.001    -1.918391   -.5450012
      yearFE52 |  -1.276472   .3298771    -3.87   0.000    -1.928242   -.6247009
      yearFE53 |  -1.245343    .314628    -3.96   0.000    -1.866985   -.6237016
      yearFE54 |  -.9628074   .2896315    -3.32   0.001    -1.535061   -.3905538
      yearFE55 |     -.9731   .2676688    -3.64   0.000     -1.50196   -.4442403
      yearFE56 |   -.838389   .2534618    -3.31   0.001    -1.339179   -.3375993
      yearFE57 |    -.55604   .2438628    -2.28   0.024    -1.037864   -.0742161
      yearFE58 |  -.4650417   .2465143    -1.89   0.061    -.9521043     .022021
      yearFE59 |   -.452815   .2328233    -1.94   0.054    -.9128271    .0071971
      yearFE60 |  -.3038983   .2117005    -1.44   0.153    -.7221758    .1143793
      yearFE61 |  -.1966707   .1883139    -1.04   0.298    -.5687411    .1753997
      yearFE62 |  -.2432962   .1713606    -1.42   0.158    -.5818702    .0952779
      yearFE63 |  -.0318862   .1524662    -0.21   0.835    -.3331286    .2693563
      yearFE64 |   .0634613   .1357657     0.47   0.641    -.2047844     .331707
      yearFE65 |   .0649905   .1237094     0.53   0.600    -.1794344    .3094154
      yearFE66 |   .0770347    .106424     0.72   0.470    -.1332378    .2873072
      yearFE67 |   .0818097   .0843172     0.97   0.333    -.0847841    .2484034
      yearFE68 |   .1759715   .0784574     2.24   0.026     .0209553    .3309876
      yearFE69 |   .0332805   .0480328     0.69   0.489    -.0616227    .1281837
      yearFE70 |          0  (omitted)
         _cons |  -8.920681   11.77468    -0.76   0.450    -32.18508    14.34372
---------------+----------------------------------------------------------------
       sigma_u |  2.3186094
       sigma_e |  1.3472093
           rho |  .74760221   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

.         cap drop baselinesample

.         cap gen baselinesample = 1 if e(sample)

.         
.         keep if baselinesample == 1
(7,509 observations deleted)

. 
.         
. *US ODA         
. 
.         
. cap est drop t*

. ***NYT
. *graph
. xtreg lnODAnetdis_USA   c.votedallwithUSA_imp##c.past_unga c.votednotallwithUSA_imp##c.past_unga ///
>                 past_unga       l_lngdppcconst lnpop  yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid)
note: past_ungaUSA omitted because of collinearity
note: past_ungaUSA omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,155
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1687                                         min =          5
     between = 0.3248                                         avg =       33.9
     overall = 0.2500                                         max =         51

                                                F(57,151)         =       7.12
corr(u_i, Xb)  = -0.8896                        Prob > F          =     0.0000

                                                       (Std. Err. adjusted for 152 clusters in countryid)
---------------------------------------------------------------------------------------------------------
                                        |               Robust
                        lnODAnetdis_USA |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------------------------+----------------------------------------------------------------
                    votedallwithUSA_imp |  -.1291733   .2886753    -0.45   0.655    -.6995377    .4411911
                           past_ungaUSA |   3.130696   1.004633     3.12   0.002     1.145744    5.115649
                                        |
   c.votedallwithUSA_imp#c.past_ungaUSA |   1.362722   .9352335     1.46   0.147    -.4851116    3.210555
                                        |
                 votednotallwithUSA_imp |  -.0946393   .4341542    -0.22   0.828    -.9524407    .7631622
                           past_ungaUSA |          0  (omitted)
                                        |
c.votednotallwithUSA_imp#c.past_ungaUSA |   1.873912   1.563011     1.20   0.232    -1.214283    4.962107
                                        |
                           past_ungaUSA |          0  (omitted)
                         l_lngdppcconst |   -.790838   .1827756    -4.33   0.000    -1.151966   -.4297101
                                  lnpop |   1.686238   .5148772     3.28   0.001     .6689443    2.703532
                                yearFE1 |          0  (omitted)
                                yearFE2 |          0  (omitted)
                                yearFE3 |          0  (omitted)
                                yearFE4 |          0  (omitted)
                                yearFE5 |          0  (omitted)
                                yearFE6 |          0  (omitted)
                                yearFE7 |          0  (omitted)
                                yearFE8 |          0  (omitted)
                                yearFE9 |          0  (omitted)
                               yearFE10 |          0  (omitted)
                               yearFE11 |          0  (omitted)
                               yearFE12 |          0  (omitted)
                               yearFE13 |          0  (omitted)
                               yearFE14 |          0  (omitted)
                               yearFE15 |          0  (omitted)
                               yearFE16 |   .2289262   .8589987     0.27   0.790    -1.468282    1.926135
                               yearFE17 |   .5190955    .794395     0.65   0.514    -1.050469     2.08866
                               yearFE18 |   .4751116   .7869795     0.60   0.547    -1.079802    2.030025
                               yearFE19 |   .2156321   .7620722     0.28   0.778    -1.290069    1.721334
                               yearFE20 |   .4076683   .7537914     0.54   0.589    -1.081672    1.897008
                               yearFE21 |          0  (omitted)
                               yearFE22 |          0  (omitted)
                               yearFE23 |          0  (omitted)
                               yearFE24 |          0  (omitted)
                               yearFE25 |   -.215045   .6399065    -0.34   0.737    -1.479371    1.049282
                               yearFE26 |  -.2590151   .6117323    -0.42   0.673    -1.467675     .949645
                               yearFE27 |  -.3644402   .6016651    -0.61   0.546    -1.553209     .824329
                               yearFE28 |  -.7439696   .5892452    -1.26   0.209      -1.9082    .4202605
                               yearFE29 |  -.6914422   .5624635    -1.23   0.221    -1.802757    .4198726
                               yearFE30 |  -.5467497    .559483    -0.98   0.330    -1.652176    .5586762
                               yearFE31 |  -.5683304   .5310632    -1.07   0.286    -1.617605    .4809437
                               yearFE32 |  -.4421482   .5125208    -0.86   0.390    -1.454786    .5704899
                               yearFE33 |  -.3789261   .4828609    -0.78   0.434    -1.332962    .5751099
                               yearFE34 |  -.3356879   .4739957    -0.71   0.480    -1.272208    .6008322
                               yearFE35 |  -.4503565   .4703516    -0.96   0.340    -1.379677    .4789636
                               yearFE36 |  -.4369555   .4609639    -0.95   0.345    -1.347727    .4738165
                               yearFE37 |  -.4867133   .4557259    -1.07   0.287    -1.387136    .4137095
                               yearFE38 |  -.2478198   .4290532    -0.58   0.564    -1.095543     .599903
                               yearFE39 |  -.0345141   .4191925    -0.08   0.934    -.8627542     .793726
                               yearFE40 |   .1166857   .4151914     0.28   0.779     -.703649    .9370204
                               yearFE41 |   .1318276   .3946091     0.33   0.739    -.6478406    .9114959
                               yearFE42 |   .0307299   .3779441     0.08   0.935    -.7160115    .7774714
                               yearFE43 |  -.0660135    .367534    -0.18   0.858    -.7921867    .6601598
                               yearFE44 |  -.1960126   .3576273    -0.55   0.584    -.9026123     .510587
                               yearFE45 |  -.1602938   .3653925    -0.44   0.662     -.882236    .5616484
                               yearFE46 |  -.0173237    .359365    -0.05   0.962    -.7273567    .6927093
                               yearFE47 |  -.2205083   .3300709    -0.67   0.505     -.872662    .4316454
                               yearFE48 |  -.2987839   .3219287    -0.93   0.355    -.9348502    .3372825
                               yearFE49 |   -.497108    .333475    -1.49   0.138    -1.155988    .1617715
                               yearFE50 |  -.7502003     .31096    -2.41   0.017    -1.364595   -.1358058
                               yearFE51 |   -1.14054   .2794434    -4.08   0.000    -1.692664   -.5884165
                               yearFE52 |  -1.195356    .260879    -4.58   0.000      -1.7108   -.6799112
                               yearFE53 |  -1.303441   .2486175    -5.24   0.000    -1.794659   -.8122224
                               yearFE54 |  -1.057603   .2345482    -4.51   0.000    -1.521023   -.5941833
                               yearFE55 |    -.95006    .218614    -4.35   0.000    -1.381997   -.5181228
                               yearFE56 |  -.8245794   .2101208    -3.92   0.000    -1.239736   -.4094229
                               yearFE57 |  -.5229382   .2019377    -2.59   0.011    -.9219264   -.1239499
                               yearFE58 |  -.4504102   .1968338    -2.29   0.024    -.8393143   -.0615062
                               yearFE59 |  -.3953214   .1853281    -2.13   0.035    -.7614925   -.0291503
                               yearFE60 |  -.1715261   .1636313    -1.05   0.296    -.4948287    .1517764
                               yearFE61 |  -.0219852   .1532622    -0.14   0.886    -.3248005      .28083
                               yearFE62 |  -.0227359   .1445826    -0.16   0.875     -.308402    .2629303
                               yearFE63 |   .2032267   .1431678     1.42   0.158    -.0796441    .4860974
                               yearFE64 |   .3737102   .1480973     2.52   0.013     .0810997    .6663207
                               yearFE65 |   .3832077   .1450036     2.64   0.009     .0967098    .6697057
                               yearFE66 |   .3550465   .1313327     2.70   0.008     .0955594    .6145336
                               yearFE67 |   .3142528   .1014687     3.10   0.002      .113771    .5147346
                               yearFE68 |   .2899587   .0847959     3.42   0.001     .1224191    .4574984
                               yearFE69 |   .0724196   .0490153     1.48   0.142    -.0244247    .1692639
                               yearFE70 |          0  (omitted)
                                  _cons |  -18.04254   8.694039    -2.08   0.040    -35.22021   -.8648686
----------------------------------------+----------------------------------------------------------------
                                sigma_u |  3.0413699
                                sigma_e |  1.2065025
                                    rho |  .86402899   (fraction of variance due to u_i)
---------------------------------------------------------------------------------------------------------

. margins, dydx(votedallwithUSA_imp) at(past_unga = (0 (0.05) 1))

Average marginal effects                        Number of obs     =      5,155
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : votedallwithUSA_imp

1._at        : past_ungaUSA    =           0

2._at        : past_ungaUSA    =         .05

3._at        : past_ungaUSA    =          .1

4._at        : past_ungaUSA    =         .15

5._at        : past_ungaUSA    =          .2

6._at        : past_ungaUSA    =         .25

7._at        : past_ungaUSA    =          .3

8._at        : past_ungaUSA    =         .35

9._at        : past_ungaUSA    =          .4

10._at       : past_ungaUSA    =         .45

11._at       : past_ungaUSA    =          .5

12._at       : past_ungaUSA    =         .55

13._at       : past_ungaUSA    =          .6

14._at       : past_ungaUSA    =         .65

15._at       : past_ungaUSA    =          .7

16._at       : past_ungaUSA    =         .75

17._at       : past_ungaUSA    =          .8

18._at       : past_ungaUSA    =         .85

19._at       : past_ungaUSA    =          .9

20._at       : past_ungaUSA    =         .95

21._at       : past_ungaUSA    =           1

-------------------------------------------------------------------------------------
                    |            Delta-method
                    |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
votedallwithUSA_imp |
                _at |
                 1  |  -.1291733   .2886753    -0.45   0.655    -.6949666    .4366199
                 2  |  -.0610372   .2497632    -0.24   0.807    -.5505641    .4284897
                 3  |   .0070989   .2140168     0.03   0.974    -.4123663     .426564
                 4  |    .075235   .1832976     0.41   0.681    -.2840218    .4344917
                 5  |    .143371   .1605184     0.89   0.372    -.1712392    .4579813
                 6  |   .2115071   .1493573     1.42   0.157    -.0812278     .504242
                 7  |   .2796432   .1523888     1.84   0.066    -.0190334    .5783198
                 8  |   .3477793   .1688503     2.06   0.039     .0168388    .6787197
                 9  |   .4159154    .195376     2.13   0.033     .0329854    .7988453
                10  |   .4840514   .2284873     2.12   0.034     .0362245    .9318784
                11  |   .5521875   .2657338     2.08   0.038     .0313588    1.073016
                12  |   .6203236   .3056072     2.03   0.042     .0213445    1.219303
                13  |   .6884597   .3472036     1.98   0.047     .0079531    1.368966
                14  |   .7565957   .3899721     1.94   0.052    -.0077356    1.520927
                15  |   .8247318    .433566     1.90   0.057    -.0250419    1.674506
                16  |   .8928679   .4777594     1.87   0.062    -.0435232    1.829259
                17  |    .961004   .5224001     1.84   0.066    -.0628813    1.984889
                18  |    1.02914   .5673826     1.81   0.070    -.0829093     2.14119
                19  |   1.097276   .6126316     1.79   0.073    -.1034596    2.298012
                20  |   1.165412   .6580921     1.77   0.077    -.1244245    2.455249
                21  |   1.233548   .7037232     1.75   0.080    -.1457237     2.61282
-------------------------------------------------------------------------------------

.         marginsplot, level(95) title("Dependent variable: US aid", color(black) size(medium)) xtitle("Allied" "(political prox
> imity to US in previous period)") ytitle("Effect of UNSC, all with US" "only important years (NYTimes)") legend(off) graphregi
> on(color(white)) bgcolor(white)  ///
>                 ylabel(-3 (1) 3 , nogrid angle(0) axis(1))  yscale(range(-3 3) axis(1)) xscale(range(0 1)) xlabel(0 (0.2) 1) p
> lotopts(msize(small) mcolor(black) lcolor(black)) ciopts(lwidth(thin) lcolor(black)) yline(0, lcolor(maroon)) ///
>                 addplot(hist past_unga if e(sample) , below color("252 205 85") fcolor(none)  yaxis(2) ylabel(0 (2) 6, axis(2)
>  angle(0)) yscale(alt range(0 8) axis(2) ))  

  Variables that uniquely identify margins: past_ungaUSA

.         graph export "graphs/FigureA6_1.png", replace   
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/FigureA6_1.png written in PNG format)

. 
. *table  
. xtreg lnODAnetdis_USA   votedallwithUSA_imp votednotallwithUSA_imp votedallwithUSA_impXunga votednotallwithUSA_impXunga ///
>                 past_unga       l_lngdppcconst lnpop  yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid)     
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,155
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1687                                         min =          5
     between = 0.3248                                         avg =       33.9
     overall = 0.2500                                         max =         51

                                                F(57,151)         =       7.12
corr(u_i, Xb)  = -0.8896                        Prob > F          =     0.0000

                                           (Std. Err. adjusted for 152 clusters in countryid)
---------------------------------------------------------------------------------------------
                            |               Robust
            lnODAnetdis_USA |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------------+----------------------------------------------------------------
        votedallwithUSA_imp |  -.1291733   .2886753    -0.45   0.655    -.6995377    .4411911
     votednotallwithUSA_imp |  -.0946393   .4341542    -0.22   0.828    -.9524407    .7631622
   votedallwithUSA_impXunga |   1.362722   .9352335     1.46   0.147    -.4851116    3.210555
votednotallwithUSA_impXunga |   1.873912   1.563011     1.20   0.232    -1.214283    4.962107
               past_ungaUSA |   3.130696   1.004633     3.12   0.002     1.145744    5.115649
             l_lngdppcconst |   -.790838   .1827756    -4.33   0.000    -1.151966   -.4297101
                      lnpop |   1.686238   .5148772     3.28   0.001     .6689443    2.703532
                    yearFE1 |          0  (omitted)
                    yearFE2 |          0  (omitted)
                    yearFE3 |          0  (omitted)
                    yearFE4 |          0  (omitted)
                    yearFE5 |          0  (omitted)
                    yearFE6 |          0  (omitted)
                    yearFE7 |          0  (omitted)
                    yearFE8 |          0  (omitted)
                    yearFE9 |          0  (omitted)
                   yearFE10 |          0  (omitted)
                   yearFE11 |          0  (omitted)
                   yearFE12 |          0  (omitted)
                   yearFE13 |          0  (omitted)
                   yearFE14 |          0  (omitted)
                   yearFE15 |          0  (omitted)
                   yearFE16 |   .2289262   .8589987     0.27   0.790    -1.468282    1.926135
                   yearFE17 |   .5190955    .794395     0.65   0.514    -1.050469     2.08866
                   yearFE18 |   .4751116   .7869795     0.60   0.547    -1.079802    2.030025
                   yearFE19 |   .2156321   .7620722     0.28   0.778    -1.290069    1.721334
                   yearFE20 |   .4076683   .7537914     0.54   0.589    -1.081672    1.897008
                   yearFE21 |          0  (omitted)
                   yearFE22 |          0  (omitted)
                   yearFE23 |          0  (omitted)
                   yearFE24 |          0  (omitted)
                   yearFE25 |   -.215045   .6399065    -0.34   0.737    -1.479371    1.049282
                   yearFE26 |  -.2590151   .6117323    -0.42   0.673    -1.467675     .949645
                   yearFE27 |  -.3644402   .6016651    -0.61   0.546    -1.553209     .824329
                   yearFE28 |  -.7439696   .5892452    -1.26   0.209      -1.9082    .4202605
                   yearFE29 |  -.6914422   .5624635    -1.23   0.221    -1.802757    .4198726
                   yearFE30 |  -.5467497    .559483    -0.98   0.330    -1.652176    .5586762
                   yearFE31 |  -.5683304   .5310632    -1.07   0.286    -1.617605    .4809437
                   yearFE32 |  -.4421482   .5125208    -0.86   0.390    -1.454786    .5704899
                   yearFE33 |  -.3789261   .4828609    -0.78   0.434    -1.332962    .5751099
                   yearFE34 |  -.3356879   .4739957    -0.71   0.480    -1.272208    .6008322
                   yearFE35 |  -.4503565   .4703516    -0.96   0.340    -1.379677    .4789636
                   yearFE36 |  -.4369555   .4609639    -0.95   0.345    -1.347727    .4738165
                   yearFE37 |  -.4867133   .4557259    -1.07   0.287    -1.387136    .4137095
                   yearFE38 |  -.2478198   .4290532    -0.58   0.564    -1.095543     .599903
                   yearFE39 |  -.0345141   .4191925    -0.08   0.934    -.8627542     .793726
                   yearFE40 |   .1166857   .4151914     0.28   0.779     -.703649    .9370204
                   yearFE41 |   .1318276   .3946091     0.33   0.739    -.6478406    .9114959
                   yearFE42 |   .0307299   .3779441     0.08   0.935    -.7160115    .7774714
                   yearFE43 |  -.0660135    .367534    -0.18   0.858    -.7921867    .6601598
                   yearFE44 |  -.1960126   .3576273    -0.55   0.584    -.9026123     .510587
                   yearFE45 |  -.1602938   .3653925    -0.44   0.662     -.882236    .5616484
                   yearFE46 |  -.0173237    .359365    -0.05   0.962    -.7273567    .6927093
                   yearFE47 |  -.2205083   .3300709    -0.67   0.505     -.872662    .4316454
                   yearFE48 |  -.2987839   .3219287    -0.93   0.355    -.9348502    .3372825
                   yearFE49 |   -.497108    .333475    -1.49   0.138    -1.155988    .1617715
                   yearFE50 |  -.7502003     .31096    -2.41   0.017    -1.364595   -.1358058
                   yearFE51 |   -1.14054   .2794434    -4.08   0.000    -1.692664   -.5884165
                   yearFE52 |  -1.195356    .260879    -4.58   0.000      -1.7108   -.6799112
                   yearFE53 |  -1.303441   .2486175    -5.24   0.000    -1.794659   -.8122224
                   yearFE54 |  -1.057603   .2345482    -4.51   0.000    -1.521023   -.5941833
                   yearFE55 |    -.95006    .218614    -4.35   0.000    -1.381997   -.5181228
                   yearFE56 |  -.8245794   .2101208    -3.92   0.000    -1.239736   -.4094229
                   yearFE57 |  -.5229382   .2019377    -2.59   0.011    -.9219264   -.1239499
                   yearFE58 |  -.4504102   .1968338    -2.29   0.024    -.8393143   -.0615062
                   yearFE59 |  -.3953214   .1853281    -2.13   0.035    -.7614925   -.0291503
                   yearFE60 |  -.1715261   .1636313    -1.05   0.296    -.4948287    .1517764
                   yearFE61 |  -.0219852   .1532622    -0.14   0.886    -.3248005      .28083
                   yearFE62 |  -.0227359   .1445826    -0.16   0.875     -.308402    .2629303
                   yearFE63 |   .2032267   .1431678     1.42   0.158    -.0796441    .4860974
                   yearFE64 |   .3737102   .1480973     2.52   0.013     .0810997    .6663207
                   yearFE65 |   .3832077   .1450036     2.64   0.009     .0967098    .6697057
                   yearFE66 |   .3550465   .1313327     2.70   0.008     .0955594    .6145336
                   yearFE67 |   .3142528   .1014687     3.10   0.002      .113771    .5147346
                   yearFE68 |   .2899587   .0847959     3.42   0.001     .1224191    .4574984
                   yearFE69 |   .0724196   .0490153     1.48   0.142    -.0244247    .1692639
                   yearFE70 |          0  (omitted)
                      _cons |  -18.04254   8.694039    -2.08   0.040    -35.22021   -.8648686
----------------------------+----------------------------------------------------------------
                    sigma_u |  3.0413699
                    sigma_e |  1.2065025
                        rho |  .86402899   (fraction of variance due to u_i)
---------------------------------------------------------------------------------------------

.         est store tUSnyt

.                 estadd local "Dependent" US aid

added macro:
          e(Dependent) : "US aid"

.                 estadd local "Votes" NYTimes

added macro:
              e(Votes) : "NYTimes"

.                 
. ***Google
. *graph  
. xtreg lnODAnetdis_USA    c.votedallwithUSA_higoo_nor##c.past_unga c.votednotallwithUSA_higoo_nor##c.past_unga           l_lngd
> ppcconst lnpop   yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: past_ungaUSA omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,155
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1700                                         min =          5
     between = 0.3242                                         avg =       33.9
     overall = 0.2500                                         max =         51

                                                F(57,151)         =       6.87
corr(u_i, Xb)  = -0.8893                        Prob > F          =     0.0000

                                                             (Std. Err. adjusted for 152 clusters in countryid)
---------------------------------------------------------------------------------------------------------------
                                              |               Robust
                              lnODAnetdis_USA |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------------------------------+----------------------------------------------------------------
                    votedallwithUSA_higoo_nor |  -.3825232   .2549818    -1.50   0.136    -.8863159    .1212695
                                 past_ungaUSA |   3.060594   .9978857     3.07   0.003     1.088972    5.032215
                                              |
   c.votedallwithUSA_higoo_nor#c.past_ungaUSA |   2.037311   .9385529     2.17   0.032     .1829195    3.891703
                                              |
                 votednotallwithUSA_higoo_nor |  -.4413577   .3198445    -1.38   0.170    -1.073306    .1905907
                                 past_ungaUSA |          0  (omitted)
                                              |
c.votednotallwithUSA_higoo_nor#c.past_ungaUSA |   2.210077   1.257471     1.76   0.081    -.2744325    4.694586
                                              |
                               l_lngdppcconst |  -.7880685   .1823582    -4.32   0.000    -1.148372   -.4277654
                                        lnpop |   1.687166   .5150486     3.28   0.001     .6695337    2.704799
                                      yearFE1 |          0  (omitted)
                                      yearFE2 |          0  (omitted)
                                      yearFE3 |          0  (omitted)
                                      yearFE4 |          0  (omitted)
                                      yearFE5 |          0  (omitted)
                                      yearFE6 |          0  (omitted)
                                      yearFE7 |          0  (omitted)
                                      yearFE8 |          0  (omitted)
                                      yearFE9 |          0  (omitted)
                                     yearFE10 |          0  (omitted)
                                     yearFE11 |          0  (omitted)
                                     yearFE12 |          0  (omitted)
                                     yearFE13 |          0  (omitted)
                                     yearFE14 |          0  (omitted)
                                     yearFE15 |          0  (omitted)
                                     yearFE16 |   .2369124   .8573659     0.28   0.783     -1.45707    1.930895
                                     yearFE17 |   .5041936   .7900064     0.64   0.524      -1.0567    2.065087
                                     yearFE18 |   .4389685   .7884893     0.56   0.579    -1.118928    1.996865
                                     yearFE19 |   .2284767   .7656395     0.30   0.766    -1.284273    1.741226
                                     yearFE20 |   .4184734   .7561161     0.55   0.581     -1.07546    1.912407
                                     yearFE21 |          0  (omitted)
                                     yearFE22 |          0  (omitted)
                                     yearFE23 |          0  (omitted)
                                     yearFE24 |          0  (omitted)
                                     yearFE25 |  -.2328921   .6439527    -0.36   0.718    -1.505213    1.039429
                                     yearFE26 |  -.2470138    .614491    -0.40   0.688    -1.461124    .9670967
                                     yearFE27 |  -.3740195   .6045993    -0.62   0.537    -1.568586     .820547
                                     yearFE28 |  -.7101049   .5919821    -1.20   0.232    -1.879743    .4595327
                                     yearFE29 |  -.7106035   .5659491    -1.26   0.211    -1.828805     .407598
                                     yearFE30 |  -.5559476   .5634517    -0.99   0.325    -1.669215    .5573195
                                     yearFE31 |  -.5751105   .5331828    -1.08   0.282    -1.628573    .4783516
                                     yearFE32 |  -.4500431   .5148623    -0.87   0.383    -1.467308    .5672213
                                     yearFE33 |  -.3856236   .4837479    -0.80   0.427    -1.341412     .570165
                                     yearFE34 |  -.3236044   .4762759    -0.68   0.498     -1.26463    .6174211
                                     yearFE35 |  -.4208928   .4729226    -0.89   0.375    -1.355293     .513507
                                     yearFE36 |   -.443007   .4630961    -0.96   0.340    -1.357992    .4719777
                                     yearFE37 |  -.4649391    .457257    -1.02   0.311    -1.368387    .4385088
                                     yearFE38 |  -.2530863   .4314543    -0.59   0.558    -1.105553    .5993806
                                     yearFE39 |  -.0330418   .4209243    -0.08   0.938    -.8647037      .79862
                                     yearFE40 |   .1210586    .417211     0.29   0.772    -.7032663    .9453836
                                     yearFE41 |   .1407549   .3967574     0.35   0.723    -.6431579    .9246677
                                     yearFE42 |    .037812   .3800816     0.10   0.921    -.7131529    .7887769
                                     yearFE43 |  -.0591438   .3693309    -0.16   0.873    -.7888674    .6705799
                                     yearFE44 |  -.1872311   .3595503    -0.52   0.603    -.8976301    .5231679
                                     yearFE45 |  -.1471524   .3640951    -0.40   0.687     -.866531    .5722263
                                     yearFE46 |   -.005537   .3577046    -0.02   0.988    -.7122895    .7012154
                                     yearFE47 |  -.2139675   .3292433    -0.65   0.517    -.8644861    .4365511
                                     yearFE48 |  -.2924377   .3209371    -0.91   0.364    -.9265449    .3416696
                                     yearFE49 |  -.4861133   .3328485    -1.46   0.146    -1.143755    .1715284
                                     yearFE50 |  -.7461994    .310784    -2.40   0.018    -1.360246   -.1321528
                                     yearFE51 |  -1.142591   .2791372    -4.09   0.000     -1.69411   -.5910723
                                     yearFE52 |  -1.198927   .2609138    -4.60   0.000     -1.71444   -.6834138
                                     yearFE53 |  -1.293898   .2480198    -5.22   0.000    -1.783935   -.8038606
                                     yearFE54 |  -1.045958   .2342435    -4.47   0.000    -1.508776   -.5831401
                                     yearFE55 |  -.9522564   .2188601    -4.35   0.000     -1.38468    -.519833
                                     yearFE56 |  -.8246671   .2117054    -3.90   0.000    -1.242954   -.4063797
                                     yearFE57 |  -.5096378   .2022379    -2.52   0.013    -.9092192   -.1100564
                                     yearFE58 |  -.4359307   .1968202    -2.21   0.028    -.8248077   -.0470536
                                     yearFE59 |  -.3793846   .1848153    -2.05   0.042    -.7445426   -.0142267
                                     yearFE60 |  -.1726862   .1633018    -1.06   0.292    -.4953378    .1499654
                                     yearFE61 |  -.0135602   .1534068    -0.09   0.930    -.3166613    .2895408
                                     yearFE62 |  -.0181556    .142693    -0.13   0.899    -.3000883    .2637772
                                     yearFE63 |   .2065625   .1420612     1.45   0.148    -.0741218    .4872468
                                     yearFE64 |   .3739512   .1477261     2.53   0.012     .0820741    .6658284
                                     yearFE65 |   .3829427   .1446143     2.65   0.009     .0972139    .6686715
                                     yearFE66 |   .3674395   .1263779     2.91   0.004     .1177422    .6171369
                                     yearFE67 |   .3205817   .0991087     3.23   0.001     .1247629    .5164004
                                     yearFE68 |   .2953049   .0846162     3.49   0.001     .1281203    .4624895
                                     yearFE69 |   .0765944   .0479372     1.60   0.112    -.0181198    .1713087
                                     yearFE70 |          0  (omitted)
                                        _cons |  -18.06415   8.699401    -2.08   0.040    -35.25242   -.8758837
----------------------------------------------+----------------------------------------------------------------
                                      sigma_u |  3.0415477
                                      sigma_e |  1.2055188
                                          rho |  .86423426   (fraction of variance due to u_i)
---------------------------------------------------------------------------------------------------------------

.                 est store tab2a3

.                 estadd local "Dependent" US aid

added macro:
          e(Dependent) : "US aid"

.                 estadd local "Votes" important                          

added macro:
              e(Votes) : "important"

.         margins, dydx(votedallwithUSA_higoo_nor) at(past_unga = (0 (0.05) 1))

Average marginal effects                        Number of obs     =      5,155
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : votedallwithUSA_higoo_nor

1._at        : past_ungaUSA    =           0

2._at        : past_ungaUSA    =         .05

3._at        : past_ungaUSA    =          .1

4._at        : past_ungaUSA    =         .15

5._at        : past_ungaUSA    =          .2

6._at        : past_ungaUSA    =         .25

7._at        : past_ungaUSA    =          .3

8._at        : past_ungaUSA    =         .35

9._at        : past_ungaUSA    =          .4

10._at       : past_ungaUSA    =         .45

11._at       : past_ungaUSA    =          .5

12._at       : past_ungaUSA    =         .55

13._at       : past_ungaUSA    =          .6

14._at       : past_ungaUSA    =         .65

15._at       : past_ungaUSA    =          .7

16._at       : past_ungaUSA    =         .75

17._at       : past_ungaUSA    =          .8

18._at       : past_ungaUSA    =         .85

19._at       : past_ungaUSA    =          .9

20._at       : past_ungaUSA    =         .95

21._at       : past_ungaUSA    =           1

-------------------------------------------------------------------------------------------
                          |            Delta-method
                          |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------------+----------------------------------------------------------------
votedallwithUSA_higoo_nor |
                      _at |
                       1  |  -.3825232   .2549818    -1.50   0.134    -.8822783    .1172319
                       2  |  -.2806576   .2147131    -1.31   0.191    -.7014875    .1401723
                       3  |  -.1787921   .1777417    -1.01   0.314    -.5271594    .1695753
                       4  |  -.0769265   .1465842    -0.52   0.600    -.3642263    .2103733
                       5  |   .0249391    .125643     0.20   0.843    -.2213166    .2711948
                       6  |   .1268046   .1203735     1.05   0.292    -.1091232    .3627325
                       7  |   .2286702   .1326568     1.72   0.085    -.0313324    .4886728
                       8  |   .3305358   .1584622     2.09   0.037     .0199555     .641116
                       9  |   .4324014   .1924244     2.25   0.025     .0552565    .8095462
                      10  |   .5342669   .2309727     2.31   0.021     .0815687    .9869651
                      11  |   .6361325   .2721655     2.34   0.019     .1026979    1.169567
                      12  |   .7379981   .3149669     2.34   0.019     .1206743    1.355322
                      13  |   .8398637   .3588017     2.34   0.019     .1366253    1.543102
                      14  |   .9417291    .403333     2.33   0.020      .151211    1.732247
                      15  |   1.043595   .4483535     2.33   0.020     .1648381    1.922351
                      16  |    1.14546   .4937292     2.32   0.020     .1777688    2.113152
                      17  |   1.247326   .5393706     2.31   0.021     .1901789    2.304473
                      18  |   1.349192   .5852155     2.31   0.021     .2021901    2.496193
                      19  |   1.451057   .6312195     2.30   0.022     .2138894    2.688225
                      20  |   1.552923   .6773503     2.29   0.022     .2253403    2.880505
                      21  |   1.654788   .7235836     2.29   0.022     .2365904    3.072986
-------------------------------------------------------------------------------------------

.         marginsplot, level(95) title("Dependent variable: US aid", color(black) size(medium)) xtitle("Allied" "(political prox
> imity to US in previous period)") ytitle("Effect of UNSC, all with US" "only important resolutions (Google)") legend(off) grap
> hregion(color(white)) bgcolor(white)  ///
>                 ylabel(-3 (1) 3 , nogrid angle(0) axis(1))  yscale(range(-3 3) axis(1)) xscale(range(0 1)) xlabel(0 (0.2) 1) p
> lotopts(msize(small) mcolor(black) lcolor(black)) ciopts(lwidth(thin) lcolor(black)) yline(0, lcolor(maroon)) ///
>                 addplot(hist past_unga if e(sample) , below color("252 205 85") fcolor(none)  yaxis(2) ylabel(0 (2) 6, axis(2)
>  angle(0)) yscale(alt range(0 8) axis(2) ))  

  Variables that uniquely identify margins: past_ungaUSA

.         graph export "graphs/FigureA6_2.png", replace   
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/FigureA6_2.png written in PNG format)

.         
. *table
. xtreg lnODAnetdis_USA   votedallwithUSA_higoo_nor  votednotallwithUSA_higoo_nor unscallimp_pastunga unscnotallimpXpastunga pas
> t_unga    l_lngdppcconst lnpop  yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid)
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,155
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1700                                         min =          5
     between = 0.3242                                         avg =       33.9
     overall = 0.2500                                         max =         51

                                                F(57,151)         =       6.87
corr(u_i, Xb)  = -0.8893                        Prob > F          =     0.0000

                                            (Std. Err. adjusted for 152 clusters in countryid)
----------------------------------------------------------------------------------------------
                             |               Robust
             lnODAnetdis_USA |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------------+----------------------------------------------------------------
   votedallwithUSA_higoo_nor |  -.3825232   .2549818    -1.50   0.136    -.8863159    .1212695
votednotallwithUSA_higoo_nor |  -.4413577   .3198445    -1.38   0.170    -1.073306    .1905907
         unscallimp_pastunga |   2.037311   .9385529     2.17   0.032     .1829195    3.891703
      unscnotallimpXpastunga |   2.210077   1.257471     1.76   0.081    -.2744325    4.694586
                past_ungaUSA |   3.060594   .9978857     3.07   0.003     1.088972    5.032215
              l_lngdppcconst |  -.7880685   .1823582    -4.32   0.000    -1.148372   -.4277654
                       lnpop |   1.687166   .5150486     3.28   0.001     .6695337    2.704799
                     yearFE1 |          0  (omitted)
                     yearFE2 |          0  (omitted)
                     yearFE3 |          0  (omitted)
                     yearFE4 |          0  (omitted)
                     yearFE5 |          0  (omitted)
                     yearFE6 |          0  (omitted)
                     yearFE7 |          0  (omitted)
                     yearFE8 |          0  (omitted)
                     yearFE9 |          0  (omitted)
                    yearFE10 |          0  (omitted)
                    yearFE11 |          0  (omitted)
                    yearFE12 |          0  (omitted)
                    yearFE13 |          0  (omitted)
                    yearFE14 |          0  (omitted)
                    yearFE15 |          0  (omitted)
                    yearFE16 |   .2369124   .8573659     0.28   0.783     -1.45707    1.930895
                    yearFE17 |   .5041936   .7900064     0.64   0.524      -1.0567    2.065087
                    yearFE18 |   .4389685   .7884893     0.56   0.579    -1.118928    1.996865
                    yearFE19 |   .2284767   .7656395     0.30   0.766    -1.284273    1.741226
                    yearFE20 |   .4184734   .7561161     0.55   0.581     -1.07546    1.912407
                    yearFE21 |          0  (omitted)
                    yearFE22 |          0  (omitted)
                    yearFE23 |          0  (omitted)
                    yearFE24 |          0  (omitted)
                    yearFE25 |  -.2328921   .6439527    -0.36   0.718    -1.505213    1.039429
                    yearFE26 |  -.2470138    .614491    -0.40   0.688    -1.461124    .9670967
                    yearFE27 |  -.3740195   .6045993    -0.62   0.537    -1.568586     .820547
                    yearFE28 |  -.7101049   .5919821    -1.20   0.232    -1.879743    .4595327
                    yearFE29 |  -.7106035   .5659491    -1.26   0.211    -1.828805     .407598
                    yearFE30 |  -.5559476   .5634517    -0.99   0.325    -1.669215    .5573195
                    yearFE31 |  -.5751105   .5331828    -1.08   0.282    -1.628573    .4783516
                    yearFE32 |  -.4500431   .5148623    -0.87   0.383    -1.467308    .5672213
                    yearFE33 |  -.3856236   .4837479    -0.80   0.427    -1.341412     .570165
                    yearFE34 |  -.3236044   .4762759    -0.68   0.498     -1.26463    .6174211
                    yearFE35 |  -.4208928   .4729226    -0.89   0.375    -1.355293     .513507
                    yearFE36 |   -.443007   .4630961    -0.96   0.340    -1.357992    .4719777
                    yearFE37 |  -.4649391    .457257    -1.02   0.311    -1.368387    .4385088
                    yearFE38 |  -.2530863   .4314543    -0.59   0.558    -1.105553    .5993806
                    yearFE39 |  -.0330418   .4209243    -0.08   0.938    -.8647037      .79862
                    yearFE40 |   .1210586    .417211     0.29   0.772    -.7032663    .9453836
                    yearFE41 |   .1407549   .3967574     0.35   0.723    -.6431579    .9246677
                    yearFE42 |    .037812   .3800816     0.10   0.921    -.7131529    .7887769
                    yearFE43 |  -.0591438   .3693309    -0.16   0.873    -.7888674    .6705799
                    yearFE44 |  -.1872311   .3595503    -0.52   0.603    -.8976301    .5231679
                    yearFE45 |  -.1471524   .3640951    -0.40   0.687     -.866531    .5722263
                    yearFE46 |   -.005537   .3577046    -0.02   0.988    -.7122895    .7012154
                    yearFE47 |  -.2139675   .3292433    -0.65   0.517    -.8644861    .4365511
                    yearFE48 |  -.2924377   .3209371    -0.91   0.364    -.9265449    .3416696
                    yearFE49 |  -.4861133   .3328485    -1.46   0.146    -1.143755    .1715284
                    yearFE50 |  -.7461994    .310784    -2.40   0.018    -1.360246   -.1321528
                    yearFE51 |  -1.142591   .2791372    -4.09   0.000     -1.69411   -.5910723
                    yearFE52 |  -1.198927   .2609138    -4.60   0.000     -1.71444   -.6834138
                    yearFE53 |  -1.293898   .2480198    -5.22   0.000    -1.783935   -.8038606
                    yearFE54 |  -1.045958   .2342435    -4.47   0.000    -1.508776   -.5831401
                    yearFE55 |  -.9522564   .2188601    -4.35   0.000     -1.38468    -.519833
                    yearFE56 |  -.8246671   .2117054    -3.90   0.000    -1.242954   -.4063797
                    yearFE57 |  -.5096378   .2022379    -2.52   0.013    -.9092192   -.1100564
                    yearFE58 |  -.4359307   .1968202    -2.21   0.028    -.8248077   -.0470536
                    yearFE59 |  -.3793846   .1848153    -2.05   0.042    -.7445426   -.0142267
                    yearFE60 |  -.1726862   .1633018    -1.06   0.292    -.4953378    .1499654
                    yearFE61 |  -.0135602   .1534068    -0.09   0.930    -.3166613    .2895408
                    yearFE62 |  -.0181556    .142693    -0.13   0.899    -.3000883    .2637772
                    yearFE63 |   .2065625   .1420612     1.45   0.148    -.0741218    .4872468
                    yearFE64 |   .3739512   .1477261     2.53   0.012     .0820741    .6658284
                    yearFE65 |   .3829427   .1446143     2.65   0.009     .0972139    .6686715
                    yearFE66 |   .3674395   .1263779     2.91   0.004     .1177422    .6171369
                    yearFE67 |   .3205817   .0991087     3.23   0.001     .1247629    .5164004
                    yearFE68 |   .2953049   .0846162     3.49   0.001     .1281203    .4624895
                    yearFE69 |   .0765944   .0479372     1.60   0.112    -.0181198    .1713087
                    yearFE70 |          0  (omitted)
                       _cons |  -18.06415   8.699401    -2.08   0.040    -35.25242   -.8758837
-----------------------------+----------------------------------------------------------------
                     sigma_u |  3.0415477
                     sigma_e |  1.2055188
                         rho |  .86423426   (fraction of variance due to u_i)
----------------------------------------------------------------------------------------------

.         est store tUSgoogle

.                 estadd local "Dependent" US aid

added macro:
          e(Dependent) : "US aid"

.                 estadd local "Votes" Google

added macro:
              e(Votes) : "Google"

.                 
. 
. ***Israel
. 
. *graph
. xtreg lnODAnetdis_USA    c.votedallwithUSA_isr##c.past_unga c.votednotallwithUSA_isr##c.past_unga               l_lngdppcconst
>  lnpop   yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: past_ungaUSA omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE32 omitted because of collinearity
note: yearFE39 omitted because of collinearity
note: yearFE52 omitted because of collinearity
note: yearFE53 omitted because of collinearity
note: yearFE54 omitted because of collinearity
note: yearFE60 omitted because of collinearity
note: yearFE62 omitted because of collinearity
note: yearFE65 omitted because of collinearity
note: yearFE66 omitted because of collinearity
note: yearFE67 omitted because of collinearity
note: yearFE68 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      3,584
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1457                                         min =          2
     between = 0.2903                                         avg =       23.6
     overall = 0.2270                                         max =         38

                                                F(44,151)         =       7.32
corr(u_i, Xb)  = -0.8999                        Prob > F          =     0.0000

                                                       (Std. Err. adjusted for 152 clusters in countryid)
---------------------------------------------------------------------------------------------------------
                                        |               Robust
                        lnODAnetdis_USA |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------------------------+----------------------------------------------------------------
                    votedallwithUSA_isr |  -.5079443   .3430671    -1.48   0.141    -1.185776    .1698874
                           past_ungaUSA |   2.754691   1.044273     2.64   0.009     .6914174    4.817964
                                        |
   c.votedallwithUSA_isr#c.past_ungaUSA |   2.618569   1.072671     2.44   0.016     .4991863    4.737951
                                        |
                 votednotallwithUSA_isr |  -.2686916   .3263653    -0.82   0.412    -.9135239    .3761407
                           past_ungaUSA |          0  (omitted)
                                        |
c.votednotallwithUSA_isr#c.past_ungaUSA |   1.857888   1.317051     1.41   0.160    -.7443399    4.460116
                                        |
                         l_lngdppcconst |  -.9752588    .198487    -4.91   0.000    -1.367429   -.5830884
                                  lnpop |   1.739126    .526847     3.30   0.001     .6981828     2.78007
                                yearFE1 |          0  (omitted)
                                yearFE2 |          0  (omitted)
                                yearFE3 |          0  (omitted)
                                yearFE4 |          0  (omitted)
                                yearFE5 |          0  (omitted)
                                yearFE6 |          0  (omitted)
                                yearFE7 |          0  (omitted)
                                yearFE8 |          0  (omitted)
                                yearFE9 |          0  (omitted)
                               yearFE10 |          0  (omitted)
                               yearFE11 |          0  (omitted)
                               yearFE12 |          0  (omitted)
                               yearFE13 |          0  (omitted)
                               yearFE14 |          0  (omitted)
                               yearFE15 |          0  (omitted)
                               yearFE16 |  -.0915317      .8789    -0.10   0.917    -1.828061    1.644998
                               yearFE17 |   .1822496   .8007506     0.23   0.820    -1.399873    1.764372
                               yearFE18 |   .0495938   .8007691     0.06   0.951    -1.532565    1.631753
                               yearFE19 |  -.0947113   .7797995    -0.12   0.903    -1.635438    1.446016
                               yearFE20 |          0  (omitted)
                               yearFE21 |          0  (omitted)
                               yearFE22 |          0  (omitted)
                               yearFE23 |          0  (omitted)
                               yearFE24 |          0  (omitted)
                               yearFE25 |  -.5667101   .6576778    -0.86   0.390    -1.866149     .732729
                               yearFE26 |  -.5756899   .6268813    -0.92   0.360    -1.814281    .6629014
                               yearFE27 |  -.6993054   .6176028    -1.13   0.259    -1.919564    .5209536
                               yearFE28 |   -1.02342   .6068163    -1.69   0.094    -2.222367    .1755272
                               yearFE29 |  -1.025695   .5775159    -1.78   0.078     -2.16675    .1153602
                               yearFE30 |  -.8691438   .5733298    -1.52   0.132    -2.001928    .2636406
                               yearFE31 |  -.8979422   .5356207    -1.68   0.096    -1.956221    .1603367
                               yearFE32 |          0  (omitted)
                               yearFE33 |  -.7382462   .4777546    -1.55   0.124    -1.682193    .2057008
                               yearFE34 |  -.6780776   .4834682    -1.40   0.163    -1.633313    .2771583
                               yearFE35 |  -.7683225   .4818689    -1.59   0.113    -1.720399    .1837536
                               yearFE36 |  -.7921136     .47619    -1.66   0.098    -1.732969    .1487421
                               yearFE37 |  -.8056855   .4716545    -1.71   0.090     -1.73758    .1262089
                               yearFE38 |  -.5602533   .4394878    -1.27   0.204    -1.428593    .3080863
                               yearFE39 |          0  (omitted)
                               yearFE40 |  -.2943398   .4102151    -0.72   0.474    -1.104842    .5161628
                               yearFE41 |  -.2622764   .3864547    -0.68   0.498    -1.025833    .5012805
                               yearFE42 |  -.3363177   .3679423    -0.91   0.362    -1.063298    .3906623
                               yearFE43 |  -.4556594   .3524325    -1.29   0.198    -1.151995    .2406764
                               yearFE44 |  -.5160328   .3345059    -1.54   0.125    -1.176949    .1448835
                               yearFE45 |  -.5414574   .3427632    -1.58   0.116    -1.218689    .1357739
                               yearFE46 |  -.3875816   .3299068    -1.17   0.242    -1.039411    .2642479
                               yearFE47 |  -.5923353    .305279    -1.94   0.054    -1.195505    .0108345
                               yearFE48 |  -.6696504   .3009544    -2.23   0.028    -1.264276   -.0750249
                               yearFE49 |  -.8589205   .3041967    -2.82   0.005    -1.459952   -.2578889
                               yearFE50 |  -1.119151   .2962021    -3.78   0.000    -1.704386   -.5339149
                               yearFE51 |  -1.486607   .2671661    -5.56   0.000    -2.014474   -.9587407
                               yearFE52 |          0  (omitted)
                               yearFE53 |          0  (omitted)
                               yearFE54 |          0  (omitted)
                               yearFE55 |   -1.23689   .2402715    -5.15   0.000    -1.711619   -.7621624
                               yearFE56 |   -1.17114   .2294563    -5.10   0.000      -1.6245   -.7177808
                               yearFE57 |  -.8532426   .2189864    -3.90   0.000    -1.285916   -.4205694
                               yearFE58 |  -.7810715   .2055841    -3.80   0.000    -1.187264   -.3748786
                               yearFE59 |  -.7292994    .187866    -3.88   0.000    -1.100485   -.3581139
                               yearFE60 |          0  (omitted)
                               yearFE61 |  -.3764357   .1318676    -2.85   0.005    -.6369796   -.1158919
                               yearFE62 |          0  (omitted)
                               yearFE63 |  -.1642027   .1036269    -1.58   0.115    -.3689486    .0405431
                               yearFE64 |   .0369852   .0886925     0.42   0.677    -.1382534    .2122237
                               yearFE65 |          0  (omitted)
                               yearFE66 |          0  (omitted)
                               yearFE67 |          0  (omitted)
                               yearFE68 |          0  (omitted)
                               yearFE69 |          0  (omitted)
                               yearFE70 |          0  (omitted)
                                  _cons |  -17.12438   8.844935    -1.94   0.055    -34.60019     .351436
----------------------------------------+----------------------------------------------------------------
                                sigma_u |  3.2853607
                                sigma_e |  1.2290517
                                    rho |  .87723115   (fraction of variance due to u_i)
---------------------------------------------------------------------------------------------------------

.         margins, dydx(votedallwithUSA_isr) at(past_unga = (0 (0.05) 1))

Average marginal effects                        Number of obs     =      3,584
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : votedallwithUSA_isr

1._at        : past_ungaUSA    =           0

2._at        : past_ungaUSA    =         .05

3._at        : past_ungaUSA    =          .1

4._at        : past_ungaUSA    =         .15

5._at        : past_ungaUSA    =          .2

6._at        : past_ungaUSA    =         .25

7._at        : past_ungaUSA    =          .3

8._at        : past_ungaUSA    =         .35

9._at        : past_ungaUSA    =          .4

10._at       : past_ungaUSA    =         .45

11._at       : past_ungaUSA    =          .5

12._at       : past_ungaUSA    =         .55

13._at       : past_ungaUSA    =          .6

14._at       : past_ungaUSA    =         .65

15._at       : past_ungaUSA    =          .7

16._at       : past_ungaUSA    =         .75

17._at       : past_ungaUSA    =          .8

18._at       : past_ungaUSA    =         .85

19._at       : past_ungaUSA    =          .9

20._at       : past_ungaUSA    =         .95

21._at       : past_ungaUSA    =           1

-------------------------------------------------------------------------------------
                    |            Delta-method
                    |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
votedallwithUSA_isr |
                _at |
                 1  |  -.5079443   .3430671    -1.48   0.139    -1.180343    .1644549
                 2  |  -.3770158   .2993891    -1.26   0.208    -.9638077    .2097761
                 3  |  -.2460874   .2594721    -0.95   0.343    -.7546434    .2624687
                 4  |  -.1151589   .2253239    -0.51   0.609    -.5567856    .3264678
                 5  |   .0157695   .1999225     0.08   0.937    -.3760715    .4076105
                 6  |    .146698   .1868698     0.79   0.432    -.2195601     .512956
                 7  |   .2776264   .1887451     1.47   0.141    -.0923072      .64756
                 8  |   .4085548   .2051396     1.99   0.046     .0064887     .810621
                 9  |   .5394833   .2330083     2.32   0.021     .0827954    .9961712
                10  |   .6704117   .2688059     2.49   0.013     .1435617    1.197262
                11  |   .8013402   .3097959     2.59   0.010     .1941513    1.408529
                12  |   .9322686     .35418     2.63   0.008     .2380885    1.626449
                13  |   1.063197   .4008324     2.65   0.008       .27758    1.848814
                14  |   1.194125   .4490466     2.66   0.008     .3140103     2.07424
                15  |   1.325054   .4983695     2.66   0.008     .3482676     2.30184
                16  |   1.455982   .5485022     2.65   0.008     .3809379    2.531027
                17  |   1.586911   .5992414     2.65   0.008     .4124193    2.761402
                18  |   1.717839   .6504452     2.64   0.008     .4429902    2.992688
                19  |   1.848768   .7020119     2.63   0.008     .4728496    3.224686
                20  |   1.979696   .7538671     2.63   0.009     .5021437    3.457248
                21  |   2.110625   .8059551     2.62   0.009     .5309816    3.690268
-------------------------------------------------------------------------------------

.         marginsplot, level(95) title("Dependent variable: US aid", color(black) size(medium)) xtitle("Allied" "(political prox
> imity to US in previous period)") ytitle("Effect of UNSC, all with US" "only Israel-related resolution") legend(off) graphregi
> on(color(white)) bgcolor(white)  ///
>                 ylabel(-3 (1) 3 , nogrid angle(0) axis(1))  yscale(range(-3 3) axis(1)) xscale(range(0 1)) xlabel(0 (0.2) 1) p
> lotopts(msize(small) mcolor(black) lcolor(black)) ciopts(lwidth(thin) lcolor(black)) yline(0, lcolor(maroon)) ///
>                 addplot(hist past_unga if e(sample) , below color("252 205 85") fcolor(none)  yaxis(2) ylabel(0 (2) 6, axis(2)
>  angle(0)) yscale(alt range(0 8) axis(2) ))  

  Variables that uniquely identify margins: past_ungaUSA

.         graph export "graphs/FigureA6_3.png", replace   
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/FigureA6_3.png written in PNG format)

. 
.         *table
.          xtreg lnODAnetdis_USA   votedallwithUSA_isr  votednotallwithUSA_isr unscallisr_pastunga unscnotallisrXpastunga past_u
> nga       l_lngdppcconst lnpop  yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid)
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE32 omitted because of collinearity
note: yearFE39 omitted because of collinearity
note: yearFE52 omitted because of collinearity
note: yearFE53 omitted because of collinearity
note: yearFE54 omitted because of collinearity
note: yearFE60 omitted because of collinearity
note: yearFE62 omitted because of collinearity
note: yearFE65 omitted because of collinearity
note: yearFE66 omitted because of collinearity
note: yearFE67 omitted because of collinearity
note: yearFE68 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      3,584
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1457                                         min =          2
     between = 0.2903                                         avg =       23.6
     overall = 0.2270                                         max =         38

                                                F(44,151)         =       7.32
corr(u_i, Xb)  = -0.8999                        Prob > F          =     0.0000

                                      (Std. Err. adjusted for 152 clusters in countryid)
----------------------------------------------------------------------------------------
                       |               Robust
       lnODAnetdis_USA |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------+----------------------------------------------------------------
   votedallwithUSA_isr |  -.5079443   .3430671    -1.48   0.141    -1.185776    .1698874
votednotallwithUSA_isr |  -.2686916   .3263653    -0.82   0.412    -.9135239    .3761407
   unscallisr_pastunga |   2.618569   1.072671     2.44   0.016     .4991863    4.737951
unscnotallisrXpastunga |   1.857888   1.317051     1.41   0.160    -.7443399    4.460116
          past_ungaUSA |   2.754691   1.044273     2.64   0.009     .6914174    4.817964
        l_lngdppcconst |  -.9752588    .198487    -4.91   0.000    -1.367429   -.5830884
                 lnpop |   1.739126    .526847     3.30   0.001     .6981828     2.78007
               yearFE1 |          0  (omitted)
               yearFE2 |          0  (omitted)
               yearFE3 |          0  (omitted)
               yearFE4 |          0  (omitted)
               yearFE5 |          0  (omitted)
               yearFE6 |          0  (omitted)
               yearFE7 |          0  (omitted)
               yearFE8 |          0  (omitted)
               yearFE9 |          0  (omitted)
              yearFE10 |          0  (omitted)
              yearFE11 |          0  (omitted)
              yearFE12 |          0  (omitted)
              yearFE13 |          0  (omitted)
              yearFE14 |          0  (omitted)
              yearFE15 |          0  (omitted)
              yearFE16 |  -.0915317      .8789    -0.10   0.917    -1.828061    1.644998
              yearFE17 |   .1822496   .8007506     0.23   0.820    -1.399873    1.764372
              yearFE18 |   .0495938   .8007691     0.06   0.951    -1.532565    1.631753
              yearFE19 |  -.0947113   .7797995    -0.12   0.903    -1.635438    1.446016
              yearFE20 |          0  (omitted)
              yearFE21 |          0  (omitted)
              yearFE22 |          0  (omitted)
              yearFE23 |          0  (omitted)
              yearFE24 |          0  (omitted)
              yearFE25 |  -.5667101   .6576778    -0.86   0.390    -1.866149     .732729
              yearFE26 |  -.5756899   .6268813    -0.92   0.360    -1.814281    .6629014
              yearFE27 |  -.6993054   .6176028    -1.13   0.259    -1.919564    .5209536
              yearFE28 |   -1.02342   .6068163    -1.69   0.094    -2.222367    .1755272
              yearFE29 |  -1.025695   .5775159    -1.78   0.078     -2.16675    .1153602
              yearFE30 |  -.8691438   .5733298    -1.52   0.132    -2.001928    .2636406
              yearFE31 |  -.8979422   .5356207    -1.68   0.096    -1.956221    .1603367
              yearFE32 |          0  (omitted)
              yearFE33 |  -.7382462   .4777546    -1.55   0.124    -1.682193    .2057008
              yearFE34 |  -.6780776   .4834682    -1.40   0.163    -1.633313    .2771583
              yearFE35 |  -.7683225   .4818689    -1.59   0.113    -1.720399    .1837536
              yearFE36 |  -.7921136     .47619    -1.66   0.098    -1.732969    .1487421
              yearFE37 |  -.8056855   .4716545    -1.71   0.090     -1.73758    .1262089
              yearFE38 |  -.5602533   .4394878    -1.27   0.204    -1.428593    .3080863
              yearFE39 |          0  (omitted)
              yearFE40 |  -.2943398   .4102151    -0.72   0.474    -1.104842    .5161628
              yearFE41 |  -.2622764   .3864547    -0.68   0.498    -1.025833    .5012805
              yearFE42 |  -.3363177   .3679423    -0.91   0.362    -1.063298    .3906623
              yearFE43 |  -.4556594   .3524325    -1.29   0.198    -1.151995    .2406764
              yearFE44 |  -.5160328   .3345059    -1.54   0.125    -1.176949    .1448835
              yearFE45 |  -.5414574   .3427632    -1.58   0.116    -1.218689    .1357739
              yearFE46 |  -.3875816   .3299068    -1.17   0.242    -1.039411    .2642479
              yearFE47 |  -.5923353    .305279    -1.94   0.054    -1.195505    .0108345
              yearFE48 |  -.6696504   .3009544    -2.23   0.028    -1.264276   -.0750249
              yearFE49 |  -.8589205   .3041967    -2.82   0.005    -1.459952   -.2578889
              yearFE50 |  -1.119151   .2962021    -3.78   0.000    -1.704386   -.5339149
              yearFE51 |  -1.486607   .2671661    -5.56   0.000    -2.014474   -.9587407
              yearFE52 |          0  (omitted)
              yearFE53 |          0  (omitted)
              yearFE54 |          0  (omitted)
              yearFE55 |   -1.23689   .2402715    -5.15   0.000    -1.711619   -.7621624
              yearFE56 |   -1.17114   .2294563    -5.10   0.000      -1.6245   -.7177808
              yearFE57 |  -.8532426   .2189864    -3.90   0.000    -1.285916   -.4205694
              yearFE58 |  -.7810715   .2055841    -3.80   0.000    -1.187264   -.3748786
              yearFE59 |  -.7292994    .187866    -3.88   0.000    -1.100485   -.3581139
              yearFE60 |          0  (omitted)
              yearFE61 |  -.3764357   .1318676    -2.85   0.005    -.6369796   -.1158919
              yearFE62 |          0  (omitted)
              yearFE63 |  -.1642027   .1036269    -1.58   0.115    -.3689486    .0405431
              yearFE64 |   .0369852   .0886925     0.42   0.677    -.1382534    .2122237
              yearFE65 |          0  (omitted)
              yearFE66 |          0  (omitted)
              yearFE67 |          0  (omitted)
              yearFE68 |          0  (omitted)
              yearFE69 |          0  (omitted)
              yearFE70 |          0  (omitted)
                 _cons |  -17.12438   8.844935    -1.94   0.055    -34.60019     .351436
-----------------------+----------------------------------------------------------------
               sigma_u |  3.2853607
               sigma_e |  1.2290517
                   rho |  .87723115   (fraction of variance due to u_i)
----------------------------------------------------------------------------------------

.         est store tUSisrael

.                 estadd local "Dependent" US aid

added macro:
          e(Dependent) : "US aid"

.                 estadd local "Votes" Israel

added macro:
              e(Votes) : "Israel"

. 
.                 
.                 
.                 
. *****IMF
. 
. ***NYT
. *graph
. xtreg IMFcommitments_lny   c.votedallwithUSA_imp##c.past_unga c.votednotallwithUSA_imp##c.past_unga  ///
>                 past_unga       l_lngdppcconst lnpop pastIMF yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid)
note: past_ungaUSA omitted because of collinearity
note: past_ungaUSA omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,024
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1189                                         min =          5
     between = 0.0635                                         avg =       33.1
     overall = 0.0664                                         max =         50

                                                F(57,151)         =      11.10
corr(u_i, Xb)  = -0.4369                        Prob > F          =     0.0000

                                                       (Std. Err. adjusted for 152 clusters in countryid)
---------------------------------------------------------------------------------------------------------
                                        |               Robust
                     IMFcommitments_lny |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------------------------+----------------------------------------------------------------
                    votedallwithUSA_imp |   1.336789   .4810886     2.78   0.006     .3862549    2.287324
                           past_ungaUSA |  -.1399042   .5085836    -0.28   0.784    -1.144763    .8649547
                                        |
   c.votedallwithUSA_imp#c.past_ungaUSA |  -2.703825   1.272056    -2.13   0.035    -5.217152   -.1904981
                                        |
                 votednotallwithUSA_imp |  -.6828898   .4427991    -1.54   0.125    -1.557772    .1919921
                           past_ungaUSA |          0  (omitted)
                                        |
c.votednotallwithUSA_imp#c.past_ungaUSA |   2.011321   2.133334     0.94   0.347    -2.203718    6.226361
                                        |
                           past_ungaUSA |          0  (omitted)
                         l_lngdppcconst |  -.5353555   .1698225    -3.15   0.002    -.8708906   -.1998204
                                  lnpop |  -.2257893   .4454457    -0.51   0.613      -1.1059    .6543218
                                pastIMF |   1.522673    .172544     8.82   0.000     1.181761    1.863586
                                yearFE1 |          0  (omitted)
                                yearFE2 |          0  (omitted)
                                yearFE3 |          0  (omitted)
                                yearFE4 |          0  (omitted)
                                yearFE5 |          0  (omitted)
                                yearFE6 |          0  (omitted)
                                yearFE7 |          0  (omitted)
                                yearFE8 |          0  (omitted)
                                yearFE9 |          0  (omitted)
                               yearFE10 |          0  (omitted)
                               yearFE11 |          0  (omitted)
                               yearFE12 |          0  (omitted)
                               yearFE13 |          0  (omitted)
                               yearFE14 |          0  (omitted)
                               yearFE15 |          0  (omitted)
                               yearFE16 |  -.0620428    .671934    -0.09   0.927    -1.389649    1.265564
                               yearFE17 |  -.7238956   .6069935    -1.19   0.235    -1.923193    .4754016
                               yearFE18 |  -.7258153   .6060966    -1.20   0.233     -1.92334    .4717098
                               yearFE19 |  -.6859691   .5917636    -1.16   0.248    -1.855175    .4832367
                               yearFE20 |  -.5702933   .6084248    -0.94   0.350    -1.772418    .6318318
                               yearFE21 |          0  (omitted)
                               yearFE22 |          0  (omitted)
                               yearFE23 |          0  (omitted)
                               yearFE24 |          0  (omitted)
                               yearFE25 |  -.7248903   .5086759    -1.43   0.156    -1.729932    .2801509
                               yearFE26 |  -.8704078    .488037    -1.78   0.077    -1.834671    .0938551
                               yearFE27 |  -.6478341    .489746    -1.32   0.188    -1.615474    .3198055
                               yearFE28 |  -.7771101   .4930198    -1.58   0.117    -1.751218    .1969979
                               yearFE29 |  -.8526584   .4925312    -1.73   0.085    -1.825801    .1204843
                               yearFE30 |  -.9366497   .4722463    -1.98   0.049    -1.869713    -.003586
                               yearFE31 |  -.6680632   .4532951    -1.47   0.143    -1.563683    .2275568
                               yearFE32 |  -.3444141   .4237915    -0.81   0.418    -1.181741    .4929128
                               yearFE33 |  -.4301907   .4377403    -0.98   0.327    -1.295078    .4346961
                               yearFE34 |  -.1787173   .4333847    -0.41   0.681    -1.034998    .6775636
                               yearFE35 |   .2121746   .4428132     0.48   0.633    -.6627353    1.087085
                               yearFE36 |   .3284338   .4420502     0.74   0.459    -.5449684    1.201836
                               yearFE37 |  -.0334317   .4063931    -0.08   0.935    -.8363828    .7695193
                               yearFE38 |   .6326734    .378303     1.67   0.097    -.1147773    1.380124
                               yearFE39 |   .1257683   .3532821     0.36   0.722     -.572246    .8237827
                               yearFE40 |   .0917057   .3841194     0.24   0.812     -.667237    .8506485
                               yearFE41 |  -.0122461   .3411364    -0.04   0.971     -.686263    .6617707
                               yearFE42 |    .153966   .3222722     0.48   0.634     -.482779    .7907111
                               yearFE43 |   .2064667   .3488224     0.59   0.555    -.4827362    .8956696
                               yearFE44 |   .5565708   .3442559     1.62   0.108    -.1236096    1.236751
                               yearFE45 |   .2437634   .3170283     0.77   0.443    -.3826208    .8701476
                               yearFE46 |   .3982985   .3085708     1.29   0.199    -.2113755    1.007972
                               yearFE47 |   .3441854   .3061303     1.12   0.263    -.2606665    .9490373
                               yearFE48 |  -.0734866   .3196803    -0.23   0.818    -.7051106    .5581375
                               yearFE49 |   .3166195   .3155245     1.00   0.317    -.3067935    .9400325
                               yearFE50 |   .3860279   .2847298     1.36   0.177    -.1765408    .9485967
                               yearFE51 |   .4921794    .280789     1.75   0.082    -.0626033    1.046962
                               yearFE52 |   .4796113   .3046707     1.57   0.118    -.1223569    1.081579
                               yearFE53 |   .5061591    .293566     1.72   0.087    -.0738683    1.086186
                               yearFE54 |   .5417389   .2857404     1.90   0.060    -.0228268    1.106305
                               yearFE55 |   .4547035   .2771554     1.64   0.103    -.0928999    1.002307
                               yearFE56 |     .44628   .2865369     1.56   0.121    -.1198594    1.012419
                               yearFE57 |   .2433607   .2906993     0.84   0.404    -.3310027    .8177242
                               yearFE58 |   .4255586    .280186     1.52   0.131    -.1280326    .9791498
                               yearFE59 |    .255953   .2667018     0.96   0.339    -.2709962    .7829021
                               yearFE60 |  -.0389057   .2559308    -0.15   0.879    -.5445734    .4667621
                               yearFE61 |  -.2178504   .2397247    -0.91   0.365    -.6914983    .2557974
                               yearFE62 |  -.3891597   .2337471    -1.66   0.098     -.850997    .0726776
                               yearFE63 |  -.1314911   .2066148    -0.64   0.525    -.5397204    .2767382
                               yearFE64 |   .3931887   .2452756     1.60   0.111    -.0914265    .8778039
                               yearFE65 |   .2594656   .1956655     1.33   0.187    -.1271301    .6460612
                               yearFE66 |   .1850741    .212459     0.87   0.385    -.2347021    .6048503
                               yearFE67 |  -.0721219   .1959893    -0.37   0.713    -.4593573    .3151136
                               yearFE68 |  -.1972298   .1341162    -1.47   0.143    -.4622165    .0677568
                               yearFE69 |          0  (omitted)
                               yearFE70 |          0  (omitted)
                                  _cons |   7.591685    7.44063     1.02   0.309    -7.109502    22.29287
----------------------------------------+----------------------------------------------------------------
                                sigma_u |  1.0977479
                                sigma_e |  1.7445198
                                    rho |  .28364811   (fraction of variance due to u_i)
---------------------------------------------------------------------------------------------------------

. margins, dydx(votedallwithUSA_imp) at(past_unga = (0 (0.05) 1))

Average marginal effects                        Number of obs     =      5,024
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : votedallwithUSA_imp

1._at        : past_ungaUSA    =           0

2._at        : past_ungaUSA    =         .05

3._at        : past_ungaUSA    =          .1

4._at        : past_ungaUSA    =         .15

5._at        : past_ungaUSA    =          .2

6._at        : past_ungaUSA    =         .25

7._at        : past_ungaUSA    =          .3

8._at        : past_ungaUSA    =         .35

9._at        : past_ungaUSA    =          .4

10._at       : past_ungaUSA    =         .45

11._at       : past_ungaUSA    =          .5

12._at       : past_ungaUSA    =         .55

13._at       : past_ungaUSA    =          .6

14._at       : past_ungaUSA    =         .65

15._at       : past_ungaUSA    =          .7

16._at       : past_ungaUSA    =         .75

17._at       : past_ungaUSA    =          .8

18._at       : past_ungaUSA    =         .85

19._at       : past_ungaUSA    =          .9

20._at       : past_ungaUSA    =         .95

21._at       : past_ungaUSA    =           1

-------------------------------------------------------------------------------------
                    |            Delta-method
                    |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
votedallwithUSA_imp |
                _at |
                 1  |   1.336789   .4810886     2.78   0.005     .3938729    2.279706
                 2  |   1.201598   .4281946     2.81   0.005      .362352    2.040844
                 3  |   1.066407   .3786101     2.82   0.005     .3243445    1.808469
                 4  |   .9312155   .3338132     2.79   0.005     .2769536    1.585477
                 5  |   .7960242   .2959857     2.69   0.007      .215903    1.376145
                 6  |    .660833    .268094     2.46   0.014     .1353783    1.186288
                 7  |   .5256417   .2534402     2.07   0.038      .028908    1.022375
                 8  |   .3904505   .2543228     1.54   0.125    -.1080132    .8889141
                 9  |   .2552592   .2705899     0.94   0.346    -.2750874    .7856057
                10  |   .1200679   .2997471     0.40   0.689    -.4674256    .7075615
                11  |  -.0151233   .3384796    -0.04   0.964    -.6785311    .6482844
                12  |  -.1503146   .3838999    -0.39   0.695    -.9027446    .6021153
                13  |  -.2855059    .433913    -0.66   0.511     -1.13596    .5649479
                14  |  -.4206971   .4871061    -0.86   0.388    -1.375408    .5340134
                15  |  -.5558884   .5425449    -1.02   0.306    -1.619257    .5074802
                16  |  -.6910797   .5996068    -1.15   0.249    -1.866287     .484128
                17  |   -.826271   .6578694    -1.26   0.209    -2.115671    .4631294
                18  |  -.9614623   .7170402    -1.34   0.180    -2.366835    .4439108
                19  |  -1.096653   .7769117    -1.41   0.158    -2.619372    .4260655
                20  |  -1.231845   .8373336    -1.47   0.141    -2.872988     .409299
                21  |  -1.367036   .8981948    -1.52   0.128    -3.127466    .3933936
-------------------------------------------------------------------------------------

.         marginsplot, level(95) title("Dependent variable: IMF loans", color(black) size(medium)) xtitle("Allied" "(political p
> roximity to US in previous period)") ytitle("Effect of UNSC, all with US" "only important years (NYTimes)") legend(off) graphr
> egion(color(white)) bgcolor(white)  ///
>                 ylabel(-3 (1) 3 , nogrid angle(0) axis(1))  yscale(range(-3 3) axis(1)) xscale(range(0 1)) xlabel(0 (0.2) 1) p
> lotopts(msize(small) mcolor(black) lcolor(black)) ciopts(lwidth(thin) lcolor(black)) yline(0, lcolor(maroon)) ///
>                 addplot(hist past_unga if e(sample) , below color("252 205 85") fcolor(none)  yaxis(2) ylabel(0 (2) 6, axis(2)
>  angle(0)) yscale(alt range(0 8) axis(2) ))  

  Variables that uniquely identify margins: past_ungaUSA

.         graph export "graphs/FigureA6_4.png", replace   
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/FigureA6_4.png written in PNG format)

. 
. *table  
. xtreg IMFcommitments_lny   votedallwithUSA_imp votednotallwithUSA_imp votedallwithUSA_impXunga votednotallwithUSA_impXunga ///
>                 past_unga       l_lngdppcconst lnpop pastIMF yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid)      
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,024
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1189                                         min =          5
     between = 0.0635                                         avg =       33.1
     overall = 0.0664                                         max =         50

                                                F(57,151)         =      11.10
corr(u_i, Xb)  = -0.4369                        Prob > F          =     0.0000

                                           (Std. Err. adjusted for 152 clusters in countryid)
---------------------------------------------------------------------------------------------
                            |               Robust
         IMFcommitments_lny |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------------+----------------------------------------------------------------
        votedallwithUSA_imp |   1.336789   .4810886     2.78   0.006     .3862549    2.287324
     votednotallwithUSA_imp |  -.6828898   .4427991    -1.54   0.125    -1.557772    .1919921
   votedallwithUSA_impXunga |  -2.703825   1.272056    -2.13   0.035    -5.217152   -.1904981
votednotallwithUSA_impXunga |   2.011321   2.133334     0.94   0.347    -2.203718    6.226361
               past_ungaUSA |  -.1399042   .5085836    -0.28   0.784    -1.144763    .8649547
             l_lngdppcconst |  -.5353555   .1698225    -3.15   0.002    -.8708906   -.1998204
                      lnpop |  -.2257893   .4454457    -0.51   0.613      -1.1059    .6543218
                    pastIMF |   1.522673    .172544     8.82   0.000     1.181761    1.863586
                    yearFE1 |          0  (omitted)
                    yearFE2 |          0  (omitted)
                    yearFE3 |          0  (omitted)
                    yearFE4 |          0  (omitted)
                    yearFE5 |          0  (omitted)
                    yearFE6 |          0  (omitted)
                    yearFE7 |          0  (omitted)
                    yearFE8 |          0  (omitted)
                    yearFE9 |          0  (omitted)
                   yearFE10 |          0  (omitted)
                   yearFE11 |          0  (omitted)
                   yearFE12 |          0  (omitted)
                   yearFE13 |          0  (omitted)
                   yearFE14 |          0  (omitted)
                   yearFE15 |          0  (omitted)
                   yearFE16 |  -.0620428    .671934    -0.09   0.927    -1.389649    1.265564
                   yearFE17 |  -.7238956   .6069935    -1.19   0.235    -1.923193    .4754016
                   yearFE18 |  -.7258153   .6060966    -1.20   0.233     -1.92334    .4717098
                   yearFE19 |  -.6859691   .5917636    -1.16   0.248    -1.855175    .4832367
                   yearFE20 |  -.5702933   .6084248    -0.94   0.350    -1.772418    .6318318
                   yearFE21 |          0  (omitted)
                   yearFE22 |          0  (omitted)
                   yearFE23 |          0  (omitted)
                   yearFE24 |          0  (omitted)
                   yearFE25 |  -.7248903   .5086759    -1.43   0.156    -1.729932    .2801509
                   yearFE26 |  -.8704078    .488037    -1.78   0.077    -1.834671    .0938551
                   yearFE27 |  -.6478341    .489746    -1.32   0.188    -1.615474    .3198055
                   yearFE28 |  -.7771101   .4930198    -1.58   0.117    -1.751218    .1969979
                   yearFE29 |  -.8526584   .4925312    -1.73   0.085    -1.825801    .1204843
                   yearFE30 |  -.9366497   .4722463    -1.98   0.049    -1.869713    -.003586
                   yearFE31 |  -.6680632   .4532951    -1.47   0.143    -1.563683    .2275568
                   yearFE32 |  -.3444141   .4237915    -0.81   0.418    -1.181741    .4929128
                   yearFE33 |  -.4301907   .4377403    -0.98   0.327    -1.295078    .4346961
                   yearFE34 |  -.1787173   .4333847    -0.41   0.681    -1.034998    .6775636
                   yearFE35 |   .2121746   .4428132     0.48   0.633    -.6627353    1.087085
                   yearFE36 |   .3284338   .4420502     0.74   0.459    -.5449684    1.201836
                   yearFE37 |  -.0334317   .4063931    -0.08   0.935    -.8363828    .7695193
                   yearFE38 |   .6326734    .378303     1.67   0.097    -.1147773    1.380124
                   yearFE39 |   .1257683   .3532821     0.36   0.722     -.572246    .8237827
                   yearFE40 |   .0917057   .3841194     0.24   0.812     -.667237    .8506485
                   yearFE41 |  -.0122461   .3411364    -0.04   0.971     -.686263    .6617707
                   yearFE42 |    .153966   .3222722     0.48   0.634     -.482779    .7907111
                   yearFE43 |   .2064667   .3488224     0.59   0.555    -.4827362    .8956696
                   yearFE44 |   .5565708   .3442559     1.62   0.108    -.1236096    1.236751
                   yearFE45 |   .2437634   .3170283     0.77   0.443    -.3826208    .8701476
                   yearFE46 |   .3982985   .3085708     1.29   0.199    -.2113755    1.007972
                   yearFE47 |   .3441854   .3061303     1.12   0.263    -.2606665    .9490373
                   yearFE48 |  -.0734866   .3196803    -0.23   0.818    -.7051106    .5581375
                   yearFE49 |   .3166195   .3155245     1.00   0.317    -.3067935    .9400325
                   yearFE50 |   .3860279   .2847298     1.36   0.177    -.1765408    .9485967
                   yearFE51 |   .4921794    .280789     1.75   0.082    -.0626033    1.046962
                   yearFE52 |   .4796113   .3046707     1.57   0.118    -.1223569    1.081579
                   yearFE53 |   .5061591    .293566     1.72   0.087    -.0738683    1.086186
                   yearFE54 |   .5417389   .2857404     1.90   0.060    -.0228268    1.106305
                   yearFE55 |   .4547035   .2771554     1.64   0.103    -.0928999    1.002307
                   yearFE56 |     .44628   .2865369     1.56   0.121    -.1198594    1.012419
                   yearFE57 |   .2433607   .2906993     0.84   0.404    -.3310027    .8177242
                   yearFE58 |   .4255586    .280186     1.52   0.131    -.1280326    .9791498
                   yearFE59 |    .255953   .2667018     0.96   0.339    -.2709962    .7829021
                   yearFE60 |  -.0389057   .2559308    -0.15   0.879    -.5445734    .4667621
                   yearFE61 |  -.2178504   .2397247    -0.91   0.365    -.6914983    .2557974
                   yearFE62 |  -.3891597   .2337471    -1.66   0.098     -.850997    .0726776
                   yearFE63 |  -.1314911   .2066148    -0.64   0.525    -.5397204    .2767382
                   yearFE64 |   .3931887   .2452756     1.60   0.111    -.0914265    .8778039
                   yearFE65 |   .2594656   .1956655     1.33   0.187    -.1271301    .6460612
                   yearFE66 |   .1850741    .212459     0.87   0.385    -.2347021    .6048503
                   yearFE67 |  -.0721219   .1959893    -0.37   0.713    -.4593573    .3151136
                   yearFE68 |  -.1972298   .1341162    -1.47   0.143    -.4622165    .0677568
                   yearFE69 |          0  (omitted)
                   yearFE70 |          0  (omitted)
                      _cons |   7.591685    7.44063     1.02   0.309    -7.109502    22.29287
----------------------------+----------------------------------------------------------------
                    sigma_u |  1.0977479
                    sigma_e |  1.7445198
                        rho |  .28364811   (fraction of variance due to u_i)
---------------------------------------------------------------------------------------------

.         est store tIMFnyt

.                 estadd local "Dependent" IMF loans

added macro:
          e(Dependent) : "IMF loans"

.                 estadd local "Votes" NYTimes

added macro:
              e(Votes) : "NYTimes"

.                 
. ***Google
. *graph  
. xtreg IMFcommitments_lny    c.votedallwithUSA_higoo_nor##c.past_unga c.votednotallwithUSA_higoo_nor##c.past_unga              
>   l_lngdppcconst lnpop  pastIMF yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: past_ungaUSA omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,024
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1183                                         min =          5
     between = 0.0587                                         avg =       33.1
     overall = 0.0641                                         max =         50

                                                F(57,151)         =      10.58
corr(u_i, Xb)  = -0.4427                        Prob > F          =     0.0000

                                                             (Std. Err. adjusted for 152 clusters in countryid)
---------------------------------------------------------------------------------------------------------------
                                              |               Robust
                           IMFcommitments_lny |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------------------------------+----------------------------------------------------------------
                    votedallwithUSA_higoo_nor |    .886125   .3659767     2.42   0.017     .1630285    1.609221
                                 past_ungaUSA |  -.1662979   .5147652    -0.32   0.747     -1.18337    .8507746
                                              |
   c.votedallwithUSA_higoo_nor#c.past_ungaUSA |  -1.673649   .9240116    -1.81   0.072     -3.49931    .1520125
                                              |
                 votednotallwithUSA_higoo_nor |   .0947228   .3011784     0.31   0.754    -.5003452    .6897908
                                 past_ungaUSA |          0  (omitted)
                                              |
c.votednotallwithUSA_higoo_nor#c.past_ungaUSA |  -1.653089   1.244392    -1.33   0.186    -4.111758    .8055794
                                              |
                               l_lngdppcconst |  -.5368589    .170744    -3.14   0.002    -.8742148    -.199503
                                        lnpop |   -.231103   .4498339    -0.51   0.608    -1.119884    .6576784
                                      pastIMF |    1.52016   .1716118     8.86   0.000     1.181089     1.85923
                                      yearFE1 |          0  (omitted)
                                      yearFE2 |          0  (omitted)
                                      yearFE3 |          0  (omitted)
                                      yearFE4 |          0  (omitted)
                                      yearFE5 |          0  (omitted)
                                      yearFE6 |          0  (omitted)
                                      yearFE7 |          0  (omitted)
                                      yearFE8 |          0  (omitted)
                                      yearFE9 |          0  (omitted)
                                     yearFE10 |          0  (omitted)
                                     yearFE11 |          0  (omitted)
                                     yearFE12 |          0  (omitted)
                                     yearFE13 |          0  (omitted)
                                     yearFE14 |          0  (omitted)
                                     yearFE15 |          0  (omitted)
                                     yearFE16 |  -.1055933   .6870484    -0.15   0.878    -1.463063    1.251876
                                     yearFE17 |  -.7511728   .6115353    -1.23   0.221    -1.959444    .4570981
                                     yearFE18 |  -.7352467   .6099553    -1.21   0.230    -1.940396    .4699022
                                     yearFE19 |  -.7059181   .5983366    -1.18   0.240    -1.888111    .4762746
                                     yearFE20 |  -.5910602   .6166682    -0.96   0.339    -1.809473    .6273523
                                     yearFE21 |          0  (omitted)
                                     yearFE22 |          0  (omitted)
                                     yearFE23 |          0  (omitted)
                                     yearFE24 |          0  (omitted)
                                     yearFE25 |  -.7166432   .5127653    -1.40   0.164    -1.729764     .296478
                                     yearFE26 |  -.8824445   .4923952    -1.79   0.075    -1.855318    .0904294
                                     yearFE27 |  -.6410387   .4902391    -1.31   0.193    -1.609653    .3275752
                                     yearFE28 |  -.7435313   .4971272    -1.50   0.137    -1.725755     .238692
                                     yearFE29 |   -.826883   .4975321    -1.66   0.099    -1.809906    .1561403
                                     yearFE30 |  -.9161588    .478141    -1.92   0.057    -1.860869    .0285517
                                     yearFE31 |  -.6554322   .4598126    -1.43   0.156    -1.563929    .2530651
                                     yearFE32 |  -.3278239   .4319698    -0.76   0.449    -1.181309    .5256616
                                     yearFE33 |  -.4810908   .4427012    -1.09   0.279    -1.355779    .3935977
                                     yearFE34 |  -.1796283    .438038    -0.41   0.682    -1.045103    .6858467
                                     yearFE35 |   .2294811   .4454813     0.52   0.607    -.6507004    1.109663
                                     yearFE36 |   .3383996   .4420334     0.77   0.445    -.5349695    1.211769
                                     yearFE37 |  -.0264114   .4091604    -0.06   0.949    -.8348301    .7820073
                                     yearFE38 |   .6354371   .3810573     1.67   0.097    -.1174554     1.38833
                                     yearFE39 |   .1275603   .3572868     0.36   0.722    -.5783666    .8334872
                                     yearFE40 |   .0887435    .385871     0.23   0.818      -.67366     .851147
                                     yearFE41 |  -.0214127   .3453071    -0.06   0.951    -.7036702    .6608448
                                     yearFE42 |   .1432943   .3247167     0.44   0.660    -.4982805    .7848692
                                     yearFE43 |   .1962563   .3495121     0.56   0.575    -.4943093    .8868219
                                     yearFE44 |    .547222   .3463111     1.58   0.116    -.1370191    1.231463
                                     yearFE45 |   .2096215   .3176906     0.66   0.510    -.4180713    .8373142
                                     yearFE46 |   .3826433   .3084268     1.24   0.217     -.226746    .9920326
                                     yearFE47 |   .3483651   .3084782     1.13   0.261    -.2611258     .957856
                                     yearFE48 |   -.070183   .3193871    -0.22   0.826    -.7012277    .5608617
                                     yearFE49 |    .304255   .3150653     0.97   0.336    -.3182506    .9267605
                                     yearFE50 |   .3814443   .2881093     1.32   0.188    -.1878018    .9506904
                                     yearFE51 |   .4936191   .2844492     1.74   0.085    -.0683954    1.055634
                                     yearFE52 |   .4818786   .3058688     1.58   0.117    -.1224566    1.086214
                                     yearFE53 |   .5018625   .2942524     1.71   0.090    -.0795212    1.083246
                                     yearFE54 |   .5385505   .2863649     1.88   0.062    -.0272489     1.10435
                                     yearFE55 |   .4184165   .2818691     1.48   0.140    -.1385001    .9753331
                                     yearFE56 |   .4481857   .2850092     1.57   0.118    -.1149352    1.011307
                                     yearFE57 |   .2281598   .2917295     0.78   0.435     -.348239    .8045587
                                     yearFE58 |   .4067686   .2804462     1.45   0.149    -.1473367     .960874
                                     yearFE59 |   .2334141   .2648035     0.88   0.379    -.2897843    .7566125
                                     yearFE60 |  -.0848314   .2573738    -0.33   0.742    -.5933502    .4236874
                                     yearFE61 |  -.2434994   .2376569    -1.02   0.307    -.7130616    .2260628
                                     yearFE62 |  -.3942926    .233809    -1.69   0.094    -.8562522    .0676669
                                     yearFE63 |  -.1685959   .2098351    -0.80   0.423    -.5831879    .2459961
                                     yearFE64 |   .3453461   .2521872     1.37   0.173    -.1529251    .8436173
                                     yearFE65 |   .2176163   .2008849     1.08   0.280    -.1792919    .6145246
                                     yearFE66 |   .1476672   .2098375     0.70   0.483    -.2669296     .562264
                                     yearFE67 |  -.0641872   .1938017    -0.33   0.741    -.4471005     .318726
                                     yearFE68 |  -.1936267    .133707    -1.45   0.150    -.4578048    .0705514
                                     yearFE69 |          0  (omitted)
                                     yearFE70 |          0  (omitted)
                                        _cons |   7.708083   7.525703     1.02   0.307    -7.161193    22.57736
----------------------------------------------+----------------------------------------------------------------
                                      sigma_u |  1.1062772
                                      sigma_e |  1.7451254
                                          rho |  .28666192   (fraction of variance due to u_i)
---------------------------------------------------------------------------------------------------------------

.                 est store tab2a3

.                 estadd local "Dependent" IMF loans

added macro:
          e(Dependent) : "IMF loans"

.                 estadd local "Votes" important                          

added macro:
              e(Votes) : "important"

.         margins, dydx(votedallwithUSA_higoo_nor) at(past_unga = (0 (0.05) 1))

Average marginal effects                        Number of obs     =      5,024
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : votedallwithUSA_higoo_nor

1._at        : past_ungaUSA    =           0

2._at        : past_ungaUSA    =         .05

3._at        : past_ungaUSA    =          .1

4._at        : past_ungaUSA    =         .15

5._at        : past_ungaUSA    =          .2

6._at        : past_ungaUSA    =         .25

7._at        : past_ungaUSA    =          .3

8._at        : past_ungaUSA    =         .35

9._at        : past_ungaUSA    =          .4

10._at       : past_ungaUSA    =         .45

11._at       : past_ungaUSA    =          .5

12._at       : past_ungaUSA    =         .55

13._at       : past_ungaUSA    =          .6

14._at       : past_ungaUSA    =         .65

15._at       : past_ungaUSA    =          .7

16._at       : past_ungaUSA    =         .75

17._at       : past_ungaUSA    =          .8

18._at       : past_ungaUSA    =         .85

19._at       : past_ungaUSA    =          .9

20._at       : past_ungaUSA    =         .95

21._at       : past_ungaUSA    =           1

-------------------------------------------------------------------------------------------
                          |            Delta-method
                          |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------------+----------------------------------------------------------------
votedallwithUSA_higoo_nor |
                      _at |
                       1  |    .886125   .3659767     2.42   0.015     .1688237    1.603426
                       2  |   .8024425   .3267642     2.46   0.014     .1619965    1.442889
                       3  |   .7187601   .2896199     2.48   0.013     .1511155    1.286405
                       4  |   .6350777   .2554477     2.49   0.013     .1344093    1.135746
                       5  |   .5513952   .2256022     2.44   0.015      .109223    .9935675
                       6  |   .4677128   .2020103     2.32   0.021     .0717798    .8636458
                       7  |   .3840303   .1870534     2.05   0.040     .0174124    .7506483
                       8  |   .3003479   .1828627     1.64   0.100    -.0580564    .6587523
                       9  |   .2166655   .1901514     1.14   0.255    -.1560244    .5893553
                      10  |   .1329831   .2077145     0.64   0.522    -.2741298     .540096
                      11  |   .0493006   .2332425     0.21   0.833    -.4078463    .5064475
                      12  |  -.0343818   .2644387    -0.13   0.897    -.5526721    .4839084
                      13  |  -.1180643   .2995372    -0.39   0.693    -.7051464    .4690179
                      14  |  -.2017466   .3373221    -0.60   0.550    -.8628859    .4593926
                      15  |  -.2854291   .3769867    -0.76   0.449    -1.024309    .4534512
                      16  |  -.3691115    .417996    -0.88   0.377    -1.188369    .4501455
                      17  |   -.452794   .4599906    -0.98   0.325    -1.354359     .448771
                      18  |  -.5364764   .5027236    -1.07   0.286    -1.521797    .4488437
                      19  |  -.6201588   .5460216    -1.14   0.256    -1.690341    .4500239
                      20  |  -.7038412   .5897603    -1.19   0.233     -1.85975    .4520678
                      21  |  -.7875237   .6338485    -1.24   0.214    -2.029844    .4547965
-------------------------------------------------------------------------------------------

.         marginsplot, level(95) title("Dependent variable: IMF loans", color(black) size(medium)) xtitle("Allied" "(political p
> roximity to US in previous period)") ytitle("Effect of UNSC, all with US" "only important resolutions (Google)") legend(off) g
> raphregion(color(white)) bgcolor(white)  ///
>                 ylabel(-3 (1) 3 , nogrid angle(0) axis(1))  yscale(range(-3 3) axis(1)) xscale(range(0 1)) xlabel(0 (0.2) 1) p
> lotopts(msize(small) mcolor(black) lcolor(black)) ciopts(lwidth(thin) lcolor(black)) yline(0, lcolor(maroon)) ///
>                 addplot(hist past_unga if e(sample) , below color("252 205 85") fcolor(none)  yaxis(2) ylabel(0 (2) 6, axis(2)
>  angle(0)) yscale(alt range(0 8) axis(2) ))  

  Variables that uniquely identify margins: past_ungaUSA

.         graph export "graphs/FigureA6_5.png", replace   
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/FigureA6_5.png written in PNG format)

.         
. *table
. xtreg IMFcommitments_lny   votedallwithUSA_higoo_nor  votednotallwithUSA_higoo_nor unscallimp_pastunga unscnotallimpXpastunga 
> past_unga         l_lngdppcconst lnpop pastIMF  yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid)
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,024
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1183                                         min =          5
     between = 0.0587                                         avg =       33.1
     overall = 0.0641                                         max =         50

                                                F(57,151)         =      10.58
corr(u_i, Xb)  = -0.4427                        Prob > F          =     0.0000

                                            (Std. Err. adjusted for 152 clusters in countryid)
----------------------------------------------------------------------------------------------
                             |               Robust
          IMFcommitments_lny |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------------+----------------------------------------------------------------
   votedallwithUSA_higoo_nor |    .886125   .3659767     2.42   0.017     .1630285    1.609221
votednotallwithUSA_higoo_nor |   .0947228   .3011784     0.31   0.754    -.5003452    .6897908
         unscallimp_pastunga |  -1.673649   .9240116    -1.81   0.072     -3.49931    .1520125
      unscnotallimpXpastunga |  -1.653089   1.244392    -1.33   0.186    -4.111758    .8055794
                past_ungaUSA |  -.1662979   .5147652    -0.32   0.747     -1.18337    .8507746
              l_lngdppcconst |  -.5368589    .170744    -3.14   0.002    -.8742148    -.199503
                       lnpop |   -.231103   .4498339    -0.51   0.608    -1.119884    .6576784
                     pastIMF |    1.52016   .1716118     8.86   0.000     1.181089     1.85923
                     yearFE1 |          0  (omitted)
                     yearFE2 |          0  (omitted)
                     yearFE3 |          0  (omitted)
                     yearFE4 |          0  (omitted)
                     yearFE5 |          0  (omitted)
                     yearFE6 |          0  (omitted)
                     yearFE7 |          0  (omitted)
                     yearFE8 |          0  (omitted)
                     yearFE9 |          0  (omitted)
                    yearFE10 |          0  (omitted)
                    yearFE11 |          0  (omitted)
                    yearFE12 |          0  (omitted)
                    yearFE13 |          0  (omitted)
                    yearFE14 |          0  (omitted)
                    yearFE15 |          0  (omitted)
                    yearFE16 |  -.1055933   .6870484    -0.15   0.878    -1.463063    1.251876
                    yearFE17 |  -.7511728   .6115353    -1.23   0.221    -1.959444    .4570981
                    yearFE18 |  -.7352467   .6099553    -1.21   0.230    -1.940396    .4699022
                    yearFE19 |  -.7059181   .5983366    -1.18   0.240    -1.888111    .4762746
                    yearFE20 |  -.5910602   .6166682    -0.96   0.339    -1.809473    .6273523
                    yearFE21 |          0  (omitted)
                    yearFE22 |          0  (omitted)
                    yearFE23 |          0  (omitted)
                    yearFE24 |          0  (omitted)
                    yearFE25 |  -.7166432   .5127653    -1.40   0.164    -1.729764     .296478
                    yearFE26 |  -.8824445   .4923952    -1.79   0.075    -1.855318    .0904294
                    yearFE27 |  -.6410387   .4902391    -1.31   0.193    -1.609653    .3275752
                    yearFE28 |  -.7435313   .4971272    -1.50   0.137    -1.725755     .238692
                    yearFE29 |   -.826883   .4975321    -1.66   0.099    -1.809906    .1561403
                    yearFE30 |  -.9161588    .478141    -1.92   0.057    -1.860869    .0285517
                    yearFE31 |  -.6554322   .4598126    -1.43   0.156    -1.563929    .2530651
                    yearFE32 |  -.3278239   .4319698    -0.76   0.449    -1.181309    .5256616
                    yearFE33 |  -.4810908   .4427012    -1.09   0.279    -1.355779    .3935977
                    yearFE34 |  -.1796283    .438038    -0.41   0.682    -1.045103    .6858467
                    yearFE35 |   .2294811   .4454813     0.52   0.607    -.6507004    1.109663
                    yearFE36 |   .3383996   .4420334     0.77   0.445    -.5349695    1.211769
                    yearFE37 |  -.0264114   .4091604    -0.06   0.949    -.8348301    .7820073
                    yearFE38 |   .6354371   .3810573     1.67   0.097    -.1174554     1.38833
                    yearFE39 |   .1275603   .3572868     0.36   0.722    -.5783666    .8334872
                    yearFE40 |   .0887435    .385871     0.23   0.818      -.67366     .851147
                    yearFE41 |  -.0214127   .3453071    -0.06   0.951    -.7036702    .6608448
                    yearFE42 |   .1432943   .3247167     0.44   0.660    -.4982805    .7848692
                    yearFE43 |   .1962563   .3495121     0.56   0.575    -.4943093    .8868219
                    yearFE44 |    .547222   .3463111     1.58   0.116    -.1370191    1.231463
                    yearFE45 |   .2096215   .3176906     0.66   0.510    -.4180713    .8373142
                    yearFE46 |   .3826433   .3084268     1.24   0.217     -.226746    .9920326
                    yearFE47 |   .3483651   .3084782     1.13   0.261    -.2611258     .957856
                    yearFE48 |   -.070183   .3193871    -0.22   0.826    -.7012277    .5608617
                    yearFE49 |    .304255   .3150653     0.97   0.336    -.3182506    .9267605
                    yearFE50 |   .3814443   .2881093     1.32   0.188    -.1878018    .9506904
                    yearFE51 |   .4936191   .2844492     1.74   0.085    -.0683954    1.055634
                    yearFE52 |   .4818786   .3058688     1.58   0.117    -.1224566    1.086214
                    yearFE53 |   .5018625   .2942524     1.71   0.090    -.0795212    1.083246
                    yearFE54 |   .5385505   .2863649     1.88   0.062    -.0272489     1.10435
                    yearFE55 |   .4184165   .2818691     1.48   0.140    -.1385001    .9753331
                    yearFE56 |   .4481857   .2850092     1.57   0.118    -.1149352    1.011307
                    yearFE57 |   .2281598   .2917295     0.78   0.435     -.348239    .8045587
                    yearFE58 |   .4067686   .2804462     1.45   0.149    -.1473367     .960874
                    yearFE59 |   .2334141   .2648035     0.88   0.379    -.2897843    .7566125
                    yearFE60 |  -.0848314   .2573738    -0.33   0.742    -.5933502    .4236874
                    yearFE61 |  -.2434994   .2376569    -1.02   0.307    -.7130616    .2260628
                    yearFE62 |  -.3942926    .233809    -1.69   0.094    -.8562522    .0676669
                    yearFE63 |  -.1685959   .2098351    -0.80   0.423    -.5831879    .2459961
                    yearFE64 |   .3453461   .2521872     1.37   0.173    -.1529251    .8436173
                    yearFE65 |   .2176163   .2008849     1.08   0.280    -.1792919    .6145246
                    yearFE66 |   .1476672   .2098375     0.70   0.483    -.2669296     .562264
                    yearFE67 |  -.0641872   .1938017    -0.33   0.741    -.4471005     .318726
                    yearFE68 |  -.1936267    .133707    -1.45   0.150    -.4578048    .0705514
                    yearFE69 |          0  (omitted)
                    yearFE70 |          0  (omitted)
                       _cons |   7.708083   7.525703     1.02   0.307    -7.161193    22.57736
-----------------------------+----------------------------------------------------------------
                     sigma_u |  1.1062772
                     sigma_e |  1.7451254
                         rho |  .28666192   (fraction of variance due to u_i)
----------------------------------------------------------------------------------------------

.         est store tab2a3

. 
. est store tIMFgoogle

.                 estadd local "Dependent" IMF loans

added macro:
          e(Dependent) : "IMF loans"

.                 estadd local "Votes" Google

added macro:
              e(Votes) : "Google"

.                 
. 
. ***Israel
. 
. *graph
. xtreg IMFcommitments_lny    c.votedallwithUSA_isr##c.past_unga c.votednotallwithUSA_isr##c.past_unga            l_lngdppcconst
>  lnpop pastIMF  yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: past_ungaUSA omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE32 omitted because of collinearity
note: yearFE39 omitted because of collinearity
note: yearFE52 omitted because of collinearity
note: yearFE53 omitted because of collinearity
note: yearFE54 omitted because of collinearity
note: yearFE60 omitted because of collinearity
note: yearFE62 omitted because of collinearity
note: yearFE65 omitted because of collinearity
note: yearFE66 omitted because of collinearity
note: yearFE67 omitted because of collinearity
note: yearFE68 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      3,581
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1334                                         min =          2
     between = 0.0724                                         avg =       23.6
     overall = 0.0747                                         max =         38

                                                F(45,151)         =       9.57
corr(u_i, Xb)  = -0.4432                        Prob > F          =     0.0000

                                                       (Std. Err. adjusted for 152 clusters in countryid)
---------------------------------------------------------------------------------------------------------
                                        |               Robust
                     IMFcommitments_lny |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------------------------+----------------------------------------------------------------
                    votedallwithUSA_isr |   .8228473   .4465684     1.84   0.067    -.0594822    1.705177
                           past_ungaUSA |   .0639816   .5614005     0.11   0.909    -1.045233    1.173196
                                        |
   c.votedallwithUSA_isr#c.past_ungaUSA |  -2.223837   1.073545    -2.07   0.040    -4.344946   -.1027278
                                        |
                 votednotallwithUSA_isr |  -.3897544   .4680307    -0.83   0.406    -1.314489      .53498
                           past_ungaUSA |          0  (omitted)
                                        |
c.votednotallwithUSA_isr#c.past_ungaUSA |   1.213334    1.77881     0.68   0.496    -2.301237    4.727905
                                        |
                         l_lngdppcconst |  -.5428177   .1758282    -3.09   0.002    -.8902188   -.1954166
                                  lnpop |  -.2290568   .5437036    -0.42   0.674    -1.303306    .8451922
                                pastIMF |   1.510408   .1809281     8.35   0.000      1.15293    1.867885
                                yearFE1 |          0  (omitted)
                                yearFE2 |          0  (omitted)
                                yearFE3 |          0  (omitted)
                                yearFE4 |          0  (omitted)
                                yearFE5 |          0  (omitted)
                                yearFE6 |          0  (omitted)
                                yearFE7 |          0  (omitted)
                                yearFE8 |          0  (omitted)
                                yearFE9 |          0  (omitted)
                               yearFE10 |          0  (omitted)
                               yearFE11 |          0  (omitted)
                               yearFE12 |          0  (omitted)
                               yearFE13 |          0  (omitted)
                               yearFE14 |          0  (omitted)
                               yearFE15 |          0  (omitted)
                               yearFE16 |  -.3318767   .7782213    -0.43   0.670    -1.869486    1.205732
                               yearFE17 |    -1.0124   .6934243    -1.46   0.146    -2.382467    .3576669
                               yearFE18 |  -.9894748   .7013885    -1.41   0.160    -2.375278    .3963279
                               yearFE19 |  -.9642073   .6869974    -1.40   0.163    -2.321576    .3931613
                               yearFE20 |          0  (omitted)
                               yearFE21 |          0  (omitted)
                               yearFE22 |          0  (omitted)
                               yearFE23 |          0  (omitted)
                               yearFE24 |          0  (omitted)
                               yearFE25 |  -.9893595   .5758414    -1.72   0.088    -2.127106    .1483873
                               yearFE26 |  -1.114348   .5598737    -1.99   0.048    -2.220545   -.0081499
                               yearFE27 |  -.9006653   .5648389    -1.59   0.113    -2.016674    .2153428
                               yearFE28 |  -1.042033   .5777592    -1.80   0.073    -2.183569    .0995032
                               yearFE29 |  -1.110289   .5619539    -1.98   0.050    -2.220597    .0000189
                               yearFE30 |   -1.18595   .5329544    -2.23   0.028    -2.238961   -.1329398
                               yearFE31 |  -.9182102   .5004655    -1.83   0.069    -1.907029    .0706089
                               yearFE32 |          0  (omitted)
                               yearFE33 |  -.6773982    .496381    -1.36   0.174    -1.658147    .3033509
                               yearFE34 |  -.3886286   .4714204    -0.82   0.411     -1.32006    .5428033
                               yearFE35 |  -.0241409    .513965    -0.05   0.963    -1.039632    .9913505
                               yearFE36 |    .087364   .5012438     0.17   0.862    -.9029929    1.077721
                               yearFE37 |  -.2725469   .4670484    -0.58   0.560    -1.195341    .6502468
                               yearFE38 |   .4926799   .4052766     1.22   0.226    -.3080652    1.293425
                               yearFE39 |          0  (omitted)
                               yearFE40 |  -.1296354   .3919046    -0.33   0.741    -.9039602    .6446893
                               yearFE41 |  -.2047904   .3752407    -0.55   0.586    -.9461907    .5366098
                               yearFE42 |  -.0896301   .3601623    -0.25   0.804    -.8012384    .6219781
                               yearFE43 |   .0156743   .3715113     0.04   0.966    -.7183573    .7497059
                               yearFE44 |   .3155424   .3551262     0.89   0.376    -.3861156      1.0172
                               yearFE45 |   .0325498   .3421742     0.10   0.924    -.6435176    .7086173
                               yearFE46 |   .1856054   .3027749     0.61   0.541     -.412617    .7838278
                               yearFE47 |   .1678143   .3031046     0.55   0.581    -.4310594    .7666881
                               yearFE48 |  -.2523662   .3040849    -0.83   0.408    -.8531769    .3484444
                               yearFE49 |   .0968216   .3217783     0.30   0.764    -.5389476    .7325908
                               yearFE50 |   .1826728   .3037243     0.60   0.548    -.4174254     .782771
                               yearFE51 |    .311763   .2955018     1.06   0.293    -.2720891     .895615
                               yearFE52 |          0  (omitted)
                               yearFE53 |          0  (omitted)
                               yearFE54 |          0  (omitted)
                               yearFE55 |   .2260113   .2858146     0.79   0.430    -.3387009    .7907234
                               yearFE56 |   .2365731   .2819392     0.84   0.403     -.320482    .7936283
                               yearFE57 |   .0215559   .2957832     0.07   0.942    -.5628523     .605964
                               yearFE58 |   .2118506   .2762086     0.77   0.444    -.3338822    .7575833
                               yearFE59 |   .0631179   .2413082     0.26   0.794    -.4136586    .5398944
                               yearFE60 |          0  (omitted)
                               yearFE61 |  -.4103561    .235641    -1.74   0.084    -.8759353    .0552232
                               yearFE62 |          0  (omitted)
                               yearFE63 |  -.3447398   .2224988    -1.55   0.123    -.7843528    .0948731
                               yearFE64 |   .2570427   .2203341     1.17   0.245    -.1782932    .6923787
                               yearFE65 |          0  (omitted)
                               yearFE66 |          0  (omitted)
                               yearFE67 |          0  (omitted)
                               yearFE68 |          0  (omitted)
                               yearFE69 |          0  (omitted)
                               yearFE70 |          0  (omitted)
                                  _cons |    7.88647   9.017818     0.87   0.383    -9.930924    25.70386
----------------------------------------+----------------------------------------------------------------
                                sigma_u |  1.1098315
                                sigma_e |  1.7154741
                                    rho |  .29505403   (fraction of variance due to u_i)
---------------------------------------------------------------------------------------------------------

.         margins, dydx(votedallwithUSA_isr) at(past_unga = (0 (0.05) 1))

Average marginal effects                        Number of obs     =      3,581
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : votedallwithUSA_isr

1._at        : past_ungaUSA    =           0

2._at        : past_ungaUSA    =         .05

3._at        : past_ungaUSA    =          .1

4._at        : past_ungaUSA    =         .15

5._at        : past_ungaUSA    =          .2

6._at        : past_ungaUSA    =         .25

7._at        : past_ungaUSA    =          .3

8._at        : past_ungaUSA    =         .35

9._at        : past_ungaUSA    =          .4

10._at       : past_ungaUSA    =         .45

11._at       : past_ungaUSA    =          .5

12._at       : past_ungaUSA    =         .55

13._at       : past_ungaUSA    =          .6

14._at       : past_ungaUSA    =         .65

15._at       : past_ungaUSA    =          .7

16._at       : past_ungaUSA    =         .75

17._at       : past_ungaUSA    =          .8

18._at       : past_ungaUSA    =         .85

19._at       : past_ungaUSA    =          .9

20._at       : past_ungaUSA    =         .95

21._at       : past_ungaUSA    =           1

-------------------------------------------------------------------------------------
                    |            Delta-method
                    |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
votedallwithUSA_isr |
                _at |
                 1  |   .8228473   .4465684     1.84   0.065    -.0524108    1.698105
                 2  |   .7116555   .4043798     1.76   0.078    -.0809143    1.504225
                 3  |   .6004636   .3652193     1.64   0.100     -.115353     1.31628
                 4  |   .4892718   .3301662     1.48   0.138    -.1578421    1.136386
                 5  |   .3780799   .3006606     1.26   0.209    -.2112041    .9673639
                 6  |   .2668881   .2784715     0.96   0.338    -.2789061    .8126823
                 7  |   .1556962   .2654402     0.59   0.558     -.364557    .6759494
                 8  |   .0445044   .2629317     0.17   0.866    -.4708322     .559841
                 9  |  -.0666874   .2712382    -0.25   0.806    -.5983045    .4649296
                10  |  -.1778793     .28943    -0.61   0.539    -.7451516    .3893931
                11  |  -.2890711   .3158034    -0.92   0.360    -.9080344    .3298921
                12  |   -.400263   .3485059    -1.15   0.251    -1.083322    .2827959
                13  |  -.5114549   .3859319    -1.33   0.185    -1.267867    .2449577
                14  |  -.6226466   .4268406    -1.46   0.145    -1.459239    .2139456
                15  |  -.7338385   .4703243    -1.56   0.119    -1.655657    .1879802
                16  |  -.8450303    .515732    -1.64   0.101    -1.855846    .1657858
                17  |  -.9562222    .562598    -1.70   0.089    -2.058894    .1464497
                18  |  -1.067414   .6105867    -1.75   0.080    -2.264142    .1293138
                19  |  -1.178606   .6594528    -1.79   0.074     -2.47111     .113898
                20  |  -1.289798   .7090152    -1.82   0.069    -2.679442    .0998466
                21  |   -1.40099   .7591374    -1.85   0.065    -2.888871    .0868924
-------------------------------------------------------------------------------------

.         marginsplot, level(95) title("Dependent variable: IMF loans", color(black) size(medium)) xtitle("Allied" "(political p
> roximity to US in previous period)") ytitle("Effect of UNSC, all with US" "only Israel-related resolution") legend(off) graphr
> egion(color(white)) bgcolor(white)  ///
>                 ylabel(-3 (1) 3 , nogrid angle(0) axis(1))  yscale(range(-3 3) axis(1)) xscale(range(0 1)) xlabel(0 (0.2) 1) p
> lotopts(msize(small) mcolor(black) lcolor(black)) ciopts(lwidth(thin) lcolor(black)) yline(0, lcolor(maroon)) ///
>                 addplot(hist past_unga if e(sample) , below color("252 205 85") fcolor(none)  yaxis(2) ylabel(0 (2) 6, axis(2)
>  angle(0)) yscale(alt range(0 8) axis(2) ))  

  Variables that uniquely identify margins: past_ungaUSA

.         graph export "graphs/FigureA6_6.png", replace   
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/FigureA6_6.png written in PNG format)

. 
.         *table
. xtreg IMFcommitments_lny   votedallwithUSA_isr  votednotallwithUSA_isr unscallisr_pastunga unscnotallisrXpastunga past_unga   
>   l_lngdppcconst lnpop pastIMF yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid)
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE32 omitted because of collinearity
note: yearFE39 omitted because of collinearity
note: yearFE52 omitted because of collinearity
note: yearFE53 omitted because of collinearity
note: yearFE54 omitted because of collinearity
note: yearFE60 omitted because of collinearity
note: yearFE62 omitted because of collinearity
note: yearFE65 omitted because of collinearity
note: yearFE66 omitted because of collinearity
note: yearFE67 omitted because of collinearity
note: yearFE68 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      3,581
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1334                                         min =          2
     between = 0.0724                                         avg =       23.6
     overall = 0.0747                                         max =         38

                                                F(45,151)         =       9.57
corr(u_i, Xb)  = -0.4432                        Prob > F          =     0.0000

                                      (Std. Err. adjusted for 152 clusters in countryid)
----------------------------------------------------------------------------------------
                       |               Robust
    IMFcommitments_lny |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------+----------------------------------------------------------------
   votedallwithUSA_isr |   .8228473   .4465684     1.84   0.067    -.0594822    1.705177
votednotallwithUSA_isr |  -.3897544   .4680307    -0.83   0.406    -1.314489      .53498
   unscallisr_pastunga |  -2.223837   1.073545    -2.07   0.040    -4.344946   -.1027278
unscnotallisrXpastunga |   1.213334    1.77881     0.68   0.496    -2.301237    4.727905
          past_ungaUSA |   .0639816   .5614005     0.11   0.909    -1.045233    1.173196
        l_lngdppcconst |  -.5428177   .1758282    -3.09   0.002    -.8902188   -.1954166
                 lnpop |  -.2290568   .5437036    -0.42   0.674    -1.303306    .8451922
               pastIMF |   1.510408   .1809281     8.35   0.000      1.15293    1.867885
               yearFE1 |          0  (omitted)
               yearFE2 |          0  (omitted)
               yearFE3 |          0  (omitted)
               yearFE4 |          0  (omitted)
               yearFE5 |          0  (omitted)
               yearFE6 |          0  (omitted)
               yearFE7 |          0  (omitted)
               yearFE8 |          0  (omitted)
               yearFE9 |          0  (omitted)
              yearFE10 |          0  (omitted)
              yearFE11 |          0  (omitted)
              yearFE12 |          0  (omitted)
              yearFE13 |          0  (omitted)
              yearFE14 |          0  (omitted)
              yearFE15 |          0  (omitted)
              yearFE16 |  -.3318767   .7782213    -0.43   0.670    -1.869486    1.205732
              yearFE17 |    -1.0124   .6934243    -1.46   0.146    -2.382467    .3576669
              yearFE18 |  -.9894748   .7013885    -1.41   0.160    -2.375278    .3963279
              yearFE19 |  -.9642073   .6869974    -1.40   0.163    -2.321576    .3931613
              yearFE20 |          0  (omitted)
              yearFE21 |          0  (omitted)
              yearFE22 |          0  (omitted)
              yearFE23 |          0  (omitted)
              yearFE24 |          0  (omitted)
              yearFE25 |  -.9893595   .5758414    -1.72   0.088    -2.127106    .1483873
              yearFE26 |  -1.114348   .5598737    -1.99   0.048    -2.220545   -.0081499
              yearFE27 |  -.9006653   .5648389    -1.59   0.113    -2.016674    .2153428
              yearFE28 |  -1.042033   .5777592    -1.80   0.073    -2.183569    .0995032
              yearFE29 |  -1.110289   .5619539    -1.98   0.050    -2.220597    .0000189
              yearFE30 |   -1.18595   .5329544    -2.23   0.028    -2.238961   -.1329398
              yearFE31 |  -.9182102   .5004655    -1.83   0.069    -1.907029    .0706089
              yearFE32 |          0  (omitted)
              yearFE33 |  -.6773982    .496381    -1.36   0.174    -1.658147    .3033509
              yearFE34 |  -.3886286   .4714204    -0.82   0.411     -1.32006    .5428033
              yearFE35 |  -.0241409    .513965    -0.05   0.963    -1.039632    .9913505
              yearFE36 |    .087364   .5012438     0.17   0.862    -.9029929    1.077721
              yearFE37 |  -.2725469   .4670484    -0.58   0.560    -1.195341    .6502468
              yearFE38 |   .4926799   .4052766     1.22   0.226    -.3080652    1.293425
              yearFE39 |          0  (omitted)
              yearFE40 |  -.1296354   .3919046    -0.33   0.741    -.9039602    .6446893
              yearFE41 |  -.2047904   .3752407    -0.55   0.586    -.9461907    .5366098
              yearFE42 |  -.0896301   .3601623    -0.25   0.804    -.8012384    .6219781
              yearFE43 |   .0156743   .3715113     0.04   0.966    -.7183573    .7497059
              yearFE44 |   .3155424   .3551262     0.89   0.376    -.3861156      1.0172
              yearFE45 |   .0325498   .3421742     0.10   0.924    -.6435176    .7086173
              yearFE46 |   .1856054   .3027749     0.61   0.541     -.412617    .7838278
              yearFE47 |   .1678143   .3031046     0.55   0.581    -.4310594    .7666881
              yearFE48 |  -.2523662   .3040849    -0.83   0.408    -.8531769    .3484444
              yearFE49 |   .0968216   .3217783     0.30   0.764    -.5389476    .7325908
              yearFE50 |   .1826728   .3037243     0.60   0.548    -.4174254     .782771
              yearFE51 |    .311763   .2955018     1.06   0.293    -.2720891     .895615
              yearFE52 |          0  (omitted)
              yearFE53 |          0  (omitted)
              yearFE54 |          0  (omitted)
              yearFE55 |   .2260113   .2858146     0.79   0.430    -.3387009    .7907234
              yearFE56 |   .2365731   .2819392     0.84   0.403     -.320482    .7936283
              yearFE57 |   .0215559   .2957832     0.07   0.942    -.5628523     .605964
              yearFE58 |   .2118506   .2762086     0.77   0.444    -.3338822    .7575833
              yearFE59 |   .0631179   .2413082     0.26   0.794    -.4136586    .5398944
              yearFE60 |          0  (omitted)
              yearFE61 |  -.4103561    .235641    -1.74   0.084    -.8759353    .0552232
              yearFE62 |          0  (omitted)
              yearFE63 |  -.3447398   .2224988    -1.55   0.123    -.7843528    .0948731
              yearFE64 |   .2570427   .2203341     1.17   0.245    -.1782932    .6923787
              yearFE65 |          0  (omitted)
              yearFE66 |          0  (omitted)
              yearFE67 |          0  (omitted)
              yearFE68 |          0  (omitted)
              yearFE69 |          0  (omitted)
              yearFE70 |          0  (omitted)
                 _cons |    7.88647   9.017818     0.87   0.383    -9.930924    25.70386
-----------------------+----------------------------------------------------------------
               sigma_u |  1.1098315
               sigma_e |  1.7154741
                   rho |  .29505403   (fraction of variance due to u_i)
----------------------------------------------------------------------------------------

.         est store tIMFisrael

.                 estadd local "Dependent" IMF loans

added macro:
          e(Dependent) : "IMF loans"

.                 estadd local "Votes" Israel

added macro:
              e(Votes) : "Israel"

. 
. 
. *****WB 
.                 
. 
. ***NYT
. *graph
. xtreg lnWBlend   c.votedallwithUSA_imp##c.past_unga c.votednotallwithUSA_imp##c.past_unga  ///
>                 past_unga       l_lngdppcconst lnpop  yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid)
note: past_ungaUSA omitted because of collinearity
note: past_ungaUSA omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      4,926
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.0731                                         min =          5
     between = 0.0299                                         avg =       32.4
     overall = 0.0005                                         max =         46

                                                F(52,151)         =       7.63
corr(u_i, Xb)  = -0.3235                        Prob > F          =     0.0000

                                                       (Std. Err. adjusted for 152 clusters in countryid)
---------------------------------------------------------------------------------------------------------
                                        |               Robust
                               lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------------------------+----------------------------------------------------------------
                    votedallwithUSA_imp |   .7072932   .4270248     1.66   0.100    -.1364219    1.551008
                           past_ungaUSA |   2.833789   .8707842     3.25   0.001     1.113294    4.554283
                                        |
   c.votedallwithUSA_imp#c.past_ungaUSA |  -.9581707   1.726082    -0.56   0.580    -4.368561     2.45222
                                        |
                 votednotallwithUSA_imp |  -.4864176   .3654018    -1.33   0.185    -1.208378     .235543
                           past_ungaUSA |          0  (omitted)
                                        |
c.votednotallwithUSA_imp#c.past_ungaUSA |   2.855792   1.418188     2.01   0.046     .0537374    5.657846
                                        |
                           past_ungaUSA |          0  (omitted)
                         l_lngdppcconst |  -.3784187   .2273463    -1.66   0.098    -.8276093    .0707719
                                  lnpop |  -.1159885    .528987    -0.22   0.827     -1.16116    .9291834
                                yearFE1 |          0  (omitted)
                                yearFE2 |          0  (omitted)
                                yearFE3 |          0  (omitted)
                                yearFE4 |          0  (omitted)
                                yearFE5 |          0  (omitted)
                                yearFE6 |          0  (omitted)
                                yearFE7 |          0  (omitted)
                                yearFE8 |          0  (omitted)
                                yearFE9 |          0  (omitted)
                               yearFE10 |          0  (omitted)
                               yearFE11 |          0  (omitted)
                               yearFE12 |          0  (omitted)
                               yearFE13 |          0  (omitted)
                               yearFE14 |          0  (omitted)
                               yearFE15 |          0  (omitted)
                               yearFE16 |          0  (omitted)
                               yearFE17 |          0  (omitted)
                               yearFE18 |          0  (omitted)
                               yearFE19 |          0  (omitted)
                               yearFE20 |          0  (omitted)
                               yearFE21 |          0  (omitted)
                               yearFE22 |          0  (omitted)
                               yearFE23 |          0  (omitted)
                               yearFE24 |          0  (omitted)
                               yearFE25 |   -3.07837    .684612    -4.50   0.000    -4.431026   -1.725714
                               yearFE26 |  -3.213043   .6745536    -4.76   0.000    -4.545825   -1.880261
                               yearFE27 |  -2.956299   .6644583    -4.45   0.000    -4.269135   -1.643463
                               yearFE28 |  -2.467688   .6661042    -3.70   0.000    -3.783776     -1.1516
                               yearFE29 |  -2.389112   .6458079    -3.70   0.000    -3.665098   -1.113125
                               yearFE30 |   -2.07945   .5983676    -3.48   0.001    -3.261704   -.8971956
                               yearFE31 |  -1.829455   .5745267    -3.18   0.002    -2.964604   -.6943054
                               yearFE32 |   -1.80343   .5246892    -3.44   0.001    -2.840111   -.7667499
                               yearFE33 |  -1.421778   .5349938    -2.66   0.009    -2.478818   -.3647374
                               yearFE34 |  -1.370639   .4975799    -2.75   0.007    -2.353757   -.3875215
                               yearFE35 |   -1.27038    .498075    -2.55   0.012    -2.254476   -.2862845
                               yearFE36 |  -1.422645   .4773869    -2.98   0.003    -2.365866   -.4794249
                               yearFE37 |   -1.71572   .4845287    -3.54   0.001    -2.673051   -.7583888
                               yearFE38 |  -1.301502   .4584808    -2.84   0.005    -2.207368   -.3956363
                               yearFE39 |  -1.406033   .4413244    -3.19   0.002    -2.278002   -.5340652
                               yearFE40 |  -1.026855   .4158731    -2.47   0.015    -1.848536    -.205173
                               yearFE41 |  -1.149082    .407881    -2.82   0.005    -1.954973   -.3431908
                               yearFE42 |  -1.103633   .4042455    -2.73   0.007    -1.902341   -.3049249
                               yearFE43 |  -.9811965   .4128927    -2.38   0.019    -1.796989   -.1654036
                               yearFE44 |  -.9825776   .4104475    -2.39   0.018    -1.793539   -.1716158
                               yearFE45 |  -.9411879   .4191751    -2.25   0.026    -1.769394   -.1129821
                               yearFE46 |  -.6189126   .3954911    -1.56   0.120    -1.400323    .1624983
                               yearFE47 |  -.6724619   .3741436    -1.80   0.074    -1.411694    .0667707
                               yearFE48 |  -.5682634    .351753    -1.62   0.108    -1.263257    .1267298
                               yearFE49 |  -.6697581   .3295806    -2.03   0.044    -1.320943   -.0185731
                               yearFE50 |  -.8268373   .3401023    -2.43   0.016    -1.498811   -.1548634
                               yearFE51 |  -1.041032    .324274    -3.21   0.002    -1.681732   -.4003319
                               yearFE52 |  -1.078514   .3286123    -3.28   0.001    -1.727786   -.4292419
                               yearFE53 |  -.9048782   .3256089    -2.78   0.006    -1.548216   -.2615406
                               yearFE54 |  -1.362287   .3094476    -4.40   0.000    -1.973693   -.7508805
                               yearFE55 |   -1.23116   .3106868    -3.96   0.000    -1.845014   -.6173049
                               yearFE56 |  -1.012336   .2869286    -3.53   0.001    -1.579249   -.4454223
                               yearFE57 |  -1.104736   .3057354    -3.61   0.000    -1.708807    -.500664
                               yearFE58 |  -1.081432   .2721607    -3.97   0.000    -1.619167   -.5436972
                               yearFE59 |  -.8294164   .2409724    -3.44   0.001    -1.305529   -.3533034
                               yearFE60 |  -.7737868   .2428038    -3.19   0.002    -1.253518   -.2940552
                               yearFE61 |  -.8470324   .2223318    -3.81   0.000    -1.286315   -.4077495
                               yearFE62 |  -.5841076   .2105827    -2.77   0.006    -1.000177   -.1680385
                               yearFE63 |  -.2415174   .2078599    -1.16   0.247    -.6522068     .169172
                               yearFE64 |  -.0339067    .226281    -0.15   0.881    -.4809925    .4131791
                               yearFE65 |   .0999092   .2385395     0.42   0.676    -.3713969    .5712154
                               yearFE66 |  -.0403388   .1998183    -0.20   0.840    -.4351395    .3544619
                               yearFE67 |  -.3340019   .2107515    -1.58   0.115    -.7504045    .0824007
                               yearFE68 |  -.3508754   .1895315    -1.85   0.066    -.7253515    .0236007
                               yearFE69 |   .2500882   .2124503     1.18   0.241     -.169671    .6698473
                               yearFE70 |          0  (omitted)
                                  _cons |   7.930025    9.22218     0.86   0.391    -10.29115     26.1512
----------------------------------------+----------------------------------------------------------------
                                sigma_u |  1.9416414
                                sigma_e |  1.6305171
                                    rho |  .58644127   (fraction of variance due to u_i)
---------------------------------------------------------------------------------------------------------

. margins, dydx(votedallwithUSA_imp) at(past_unga = (0 (0.05) 1))

Average marginal effects                        Number of obs     =      4,926
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : votedallwithUSA_imp

1._at        : past_ungaUSA    =           0

2._at        : past_ungaUSA    =         .05

3._at        : past_ungaUSA    =          .1

4._at        : past_ungaUSA    =         .15

5._at        : past_ungaUSA    =          .2

6._at        : past_ungaUSA    =         .25

7._at        : past_ungaUSA    =          .3

8._at        : past_ungaUSA    =         .35

9._at        : past_ungaUSA    =          .4

10._at       : past_ungaUSA    =         .45

11._at       : past_ungaUSA    =          .5

12._at       : past_ungaUSA    =         .55

13._at       : past_ungaUSA    =          .6

14._at       : past_ungaUSA    =         .65

15._at       : past_ungaUSA    =          .7

16._at       : past_ungaUSA    =         .75

17._at       : past_ungaUSA    =          .8

18._at       : past_ungaUSA    =         .85

19._at       : past_ungaUSA    =          .9

20._at       : past_ungaUSA    =         .95

21._at       : past_ungaUSA    =           1

-------------------------------------------------------------------------------------
                    |            Delta-method
                    |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
votedallwithUSA_imp |
                _at |
                 1  |   .7072932   .4270248     1.66   0.098      -.12966    1.544246
                 2  |   .6593846   .3542918     1.86   0.063    -.0350145    1.353784
                 3  |   .6114761   .2891228     2.11   0.034     .0448059    1.178146
                 4  |   .5635676   .2378194     2.37   0.018       .09745    1.029685
                 5  |    .515659   .2107629     2.45   0.014     .1025714    .9287466
                 6  |   .4677505   .2172111     2.15   0.031     .0420245    .8934764
                 7  |    .419842   .2546314     1.65   0.099    -.0792264    .9189103
                 8  |   .3719334   .3120743     1.19   0.233     -.239721    .9835879
                 9  |   .3240249   .3805791     0.85   0.395    -.4218965    1.069946
                10  |   .2761164   .4551783     0.61   0.544    -.6160167    1.168249
                11  |   .2282078   .5333207     0.43   0.669    -.8170815    1.273497
                12  |   .1802993   .6136541     0.29   0.769    -1.022441    1.383039
                13  |   .1323907   .6954197     0.19   0.849    -1.230607    1.495388
                14  |   .0844823   .7781661     0.11   0.914    -1.440695     1.60966
                15  |   .0365737   .8616109     0.04   0.966    -1.652153      1.7253
                16  |  -.0113348   .9455691    -0.01   0.990    -1.864616    1.841947
                17  |  -.0592434   1.029915    -0.06   0.954     -2.07784    1.959353
                18  |  -.1071519   1.114561    -0.10   0.923    -2.291652    2.077348
                19  |  -.1550604   1.199443    -0.13   0.897    -2.505926    2.195805
                20  |   -.202969   1.284515    -0.16   0.874    -2.720572    2.314634
                21  |  -.2508775   1.369741    -0.18   0.855    -2.935521    2.433766
-------------------------------------------------------------------------------------

.         marginsplot, level(95) title("Dependent variable: WB loans", color(black) size(medium)) xtitle("Allied" "(political pr
> oximity to US in previous period)") ytitle("Effect of UNSC, all with US" "only important years (NYTimes)") legend(off) graphre
> gion(color(white)) bgcolor(white)  ///
>                 ylabel(-3 (1) 3 , nogrid angle(0) axis(1))  yscale(range(-3 3) axis(1)) xscale(range(0 1)) xlabel(0 (0.2) 1) p
> lotopts(msize(small) mcolor(black) lcolor(black)) ciopts(lwidth(thin) lcolor(black)) yline(0, lcolor(maroon)) ///
>                 addplot(hist past_unga if e(sample) , below color("252 205 85") fcolor(none)  yaxis(2) ylabel(0 (2) 6, axis(2)
>  angle(0)) yscale(alt range(0 8) axis(2) ))  

  Variables that uniquely identify margins: past_ungaUSA

.         graph export "graphs/FigureA6_7.png", replace   
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/FigureA6_7.png written in PNG format)

. 
. *table  
. xtreg lnWBlend   votedallwithUSA_imp votednotallwithUSA_imp votedallwithUSA_impXunga votednotallwithUSA_impXunga ///
>                 past_unga       l_lngdppcconst lnpop  yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid)     
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      4,926
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.0731                                         min =          5
     between = 0.0299                                         avg =       32.4
     overall = 0.0005                                         max =         46

                                                F(52,151)         =       7.63
corr(u_i, Xb)  = -0.3235                        Prob > F          =     0.0000

                                           (Std. Err. adjusted for 152 clusters in countryid)
---------------------------------------------------------------------------------------------
                            |               Robust
                   lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------------+----------------------------------------------------------------
        votedallwithUSA_imp |   .7072932   .4270248     1.66   0.100    -.1364219    1.551008
     votednotallwithUSA_imp |  -.4864176   .3654018    -1.33   0.185    -1.208378     .235543
   votedallwithUSA_impXunga |  -.9581707   1.726082    -0.56   0.580    -4.368561     2.45222
votednotallwithUSA_impXunga |   2.855792   1.418188     2.01   0.046     .0537374    5.657846
               past_ungaUSA |   2.833789   .8707842     3.25   0.001     1.113294    4.554283
             l_lngdppcconst |  -.3784187   .2273463    -1.66   0.098    -.8276093    .0707719
                      lnpop |  -.1159885    .528987    -0.22   0.827     -1.16116    .9291834
                    yearFE1 |          0  (omitted)
                    yearFE2 |          0  (omitted)
                    yearFE3 |          0  (omitted)
                    yearFE4 |          0  (omitted)
                    yearFE5 |          0  (omitted)
                    yearFE6 |          0  (omitted)
                    yearFE7 |          0  (omitted)
                    yearFE8 |          0  (omitted)
                    yearFE9 |          0  (omitted)
                   yearFE10 |          0  (omitted)
                   yearFE11 |          0  (omitted)
                   yearFE12 |          0  (omitted)
                   yearFE13 |          0  (omitted)
                   yearFE14 |          0  (omitted)
                   yearFE15 |          0  (omitted)
                   yearFE16 |          0  (omitted)
                   yearFE17 |          0  (omitted)
                   yearFE18 |          0  (omitted)
                   yearFE19 |          0  (omitted)
                   yearFE20 |          0  (omitted)
                   yearFE21 |          0  (omitted)
                   yearFE22 |          0  (omitted)
                   yearFE23 |          0  (omitted)
                   yearFE24 |          0  (omitted)
                   yearFE25 |   -3.07837    .684612    -4.50   0.000    -4.431026   -1.725714
                   yearFE26 |  -3.213043   .6745536    -4.76   0.000    -4.545825   -1.880261
                   yearFE27 |  -2.956299   .6644583    -4.45   0.000    -4.269135   -1.643463
                   yearFE28 |  -2.467688   .6661042    -3.70   0.000    -3.783776     -1.1516
                   yearFE29 |  -2.389112   .6458079    -3.70   0.000    -3.665098   -1.113125
                   yearFE30 |   -2.07945   .5983676    -3.48   0.001    -3.261704   -.8971956
                   yearFE31 |  -1.829455   .5745267    -3.18   0.002    -2.964604   -.6943054
                   yearFE32 |   -1.80343   .5246892    -3.44   0.001    -2.840111   -.7667499
                   yearFE33 |  -1.421778   .5349938    -2.66   0.009    -2.478818   -.3647374
                   yearFE34 |  -1.370639   .4975799    -2.75   0.007    -2.353757   -.3875215
                   yearFE35 |   -1.27038    .498075    -2.55   0.012    -2.254476   -.2862845
                   yearFE36 |  -1.422645   .4773869    -2.98   0.003    -2.365866   -.4794249
                   yearFE37 |   -1.71572   .4845287    -3.54   0.001    -2.673051   -.7583888
                   yearFE38 |  -1.301502   .4584808    -2.84   0.005    -2.207368   -.3956363
                   yearFE39 |  -1.406033   .4413244    -3.19   0.002    -2.278002   -.5340652
                   yearFE40 |  -1.026855   .4158731    -2.47   0.015    -1.848536    -.205173
                   yearFE41 |  -1.149082    .407881    -2.82   0.005    -1.954973   -.3431908
                   yearFE42 |  -1.103633   .4042455    -2.73   0.007    -1.902341   -.3049249
                   yearFE43 |  -.9811965   .4128927    -2.38   0.019    -1.796989   -.1654036
                   yearFE44 |  -.9825776   .4104475    -2.39   0.018    -1.793539   -.1716158
                   yearFE45 |  -.9411879   .4191751    -2.25   0.026    -1.769394   -.1129821
                   yearFE46 |  -.6189126   .3954911    -1.56   0.120    -1.400323    .1624983
                   yearFE47 |  -.6724619   .3741436    -1.80   0.074    -1.411694    .0667707
                   yearFE48 |  -.5682634    .351753    -1.62   0.108    -1.263257    .1267298
                   yearFE49 |  -.6697581   .3295806    -2.03   0.044    -1.320943   -.0185731
                   yearFE50 |  -.8268373   .3401023    -2.43   0.016    -1.498811   -.1548634
                   yearFE51 |  -1.041032    .324274    -3.21   0.002    -1.681732   -.4003319
                   yearFE52 |  -1.078514   .3286123    -3.28   0.001    -1.727786   -.4292419
                   yearFE53 |  -.9048782   .3256089    -2.78   0.006    -1.548216   -.2615406
                   yearFE54 |  -1.362287   .3094476    -4.40   0.000    -1.973693   -.7508805
                   yearFE55 |   -1.23116   .3106868    -3.96   0.000    -1.845014   -.6173049
                   yearFE56 |  -1.012336   .2869286    -3.53   0.001    -1.579249   -.4454223
                   yearFE57 |  -1.104736   .3057354    -3.61   0.000    -1.708807    -.500664
                   yearFE58 |  -1.081432   .2721607    -3.97   0.000    -1.619167   -.5436972
                   yearFE59 |  -.8294164   .2409724    -3.44   0.001    -1.305529   -.3533034
                   yearFE60 |  -.7737868   .2428038    -3.19   0.002    -1.253518   -.2940552
                   yearFE61 |  -.8470324   .2223318    -3.81   0.000    -1.286315   -.4077495
                   yearFE62 |  -.5841076   .2105827    -2.77   0.006    -1.000177   -.1680385
                   yearFE63 |  -.2415174   .2078599    -1.16   0.247    -.6522068     .169172
                   yearFE64 |  -.0339067    .226281    -0.15   0.881    -.4809925    .4131791
                   yearFE65 |   .0999092   .2385395     0.42   0.676    -.3713969    .5712154
                   yearFE66 |  -.0403388   .1998183    -0.20   0.840    -.4351395    .3544619
                   yearFE67 |  -.3340019   .2107515    -1.58   0.115    -.7504045    .0824007
                   yearFE68 |  -.3508754   .1895315    -1.85   0.066    -.7253515    .0236007
                   yearFE69 |   .2500882   .2124503     1.18   0.241     -.169671    .6698473
                   yearFE70 |          0  (omitted)
                      _cons |   7.930025    9.22218     0.86   0.391    -10.29115     26.1512
----------------------------+----------------------------------------------------------------
                    sigma_u |  1.9416414
                    sigma_e |  1.6305171
                        rho |  .58644127   (fraction of variance due to u_i)
---------------------------------------------------------------------------------------------

.         est store tWBnyt

.                 estadd local "Dependent" WB loans

added macro:
          e(Dependent) : "WB loans"

.                 estadd local "Votes" NYTimes

added macro:
              e(Votes) : "NYTimes"

.                 
. ***Google
. *graph  
. xtreg lnWBlend    c.votedallwithUSA_higoo_nor##c.past_unga c.votednotallwithUSA_higoo_nor##c.past_unga                  l_lngd
> ppcconst lnpop   yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: past_ungaUSA omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      4,926
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.0745                                         min =          5
     between = 0.0482                                         avg =       32.4
     overall = 0.0002                                         max =         46

                                                F(52,151)         =       8.45
corr(u_i, Xb)  = -0.3719                        Prob > F          =     0.0000

                                                             (Std. Err. adjusted for 152 clusters in countryid)
---------------------------------------------------------------------------------------------------------------
                                              |               Robust
                                     lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------------------------------+----------------------------------------------------------------
                    votedallwithUSA_higoo_nor |   .9612882   .3320386     2.90   0.004     .3052468     1.61733
                                 past_ungaUSA |   2.879613   .8744844     3.29   0.001     1.151807    4.607418
                                              |
   c.votedallwithUSA_higoo_nor#c.past_ungaUSA |  -2.159516   1.307434    -1.65   0.101    -4.742743    .4237115
                                              |
                 votednotallwithUSA_higoo_nor |  -.0012173    .368071    -0.00   0.997    -.7284516    .7260171
                                 past_ungaUSA |          0  (omitted)
                                              |
c.votednotallwithUSA_higoo_nor#c.past_ungaUSA |   .7901829   1.507826     0.52   0.601    -2.188978    3.769344
                                              |
                               l_lngdppcconst |   -.385283   .2256466    -1.71   0.090    -.8311154    .0605493
                                        lnpop |  -.1445007   .5254163    -0.28   0.784    -1.182618    .8936162
                                      yearFE1 |          0  (omitted)
                                      yearFE2 |          0  (omitted)
                                      yearFE3 |          0  (omitted)
                                      yearFE4 |          0  (omitted)
                                      yearFE5 |          0  (omitted)
                                      yearFE6 |          0  (omitted)
                                      yearFE7 |          0  (omitted)
                                      yearFE8 |          0  (omitted)
                                      yearFE9 |          0  (omitted)
                                     yearFE10 |          0  (omitted)
                                     yearFE11 |          0  (omitted)
                                     yearFE12 |          0  (omitted)
                                     yearFE13 |          0  (omitted)
                                     yearFE14 |          0  (omitted)
                                     yearFE15 |          0  (omitted)
                                     yearFE16 |          0  (omitted)
                                     yearFE17 |          0  (omitted)
                                     yearFE18 |          0  (omitted)
                                     yearFE19 |          0  (omitted)
                                     yearFE20 |          0  (omitted)
                                     yearFE21 |          0  (omitted)
                                     yearFE22 |          0  (omitted)
                                     yearFE23 |          0  (omitted)
                                     yearFE24 |          0  (omitted)
                                     yearFE25 |  -3.090699   .6832314    -4.52   0.000    -4.440626   -1.740771
                                     yearFE26 |  -3.207919   .6682481    -4.80   0.000    -4.528243   -1.887595
                                     yearFE27 |  -2.971457   .6649685    -4.47   0.000    -4.285301   -1.657613
                                     yearFE28 |  -2.453998   .6594792    -3.72   0.000    -3.756996      -1.151
                                     yearFE29 |  -2.413754   .6485162    -3.72   0.000    -3.695092   -1.132417
                                     yearFE30 |  -2.103908   .5968212    -3.53   0.001    -3.283107   -.9247093
                                     yearFE31 |  -1.848249   .5741962    -3.22   0.002    -2.982745   -.7137525
                                     yearFE32 |  -1.822866   .5234642    -3.48   0.001    -2.857126   -.7886058
                                     yearFE33 |  -1.451458   .5311989    -2.73   0.007       -2.501   -.4019162
                                     yearFE34 |    -1.3607   .4920369    -2.77   0.006    -2.332866    -.388534
                                     yearFE35 |  -1.253154   .4940536    -2.54   0.012    -2.229304   -.2770033
                                     yearFE36 |  -1.435485   .4760319    -3.02   0.003    -2.376028   -.4949414
                                     yearFE37 |  -1.704664   .4807559    -3.55   0.001    -2.654541   -.7547875
                                     yearFE38 |  -1.313621   .4567781    -2.88   0.005    -2.216123   -.4111198
                                     yearFE39 |    -1.4098   .4406527    -3.20   0.002    -2.280441   -.5391592
                                     yearFE40 |  -1.026305   .4141065    -2.48   0.014    -1.844496   -.2081138
                                     yearFE41 |  -1.143607   .4072946    -2.81   0.006    -1.948339   -.3388748
                                     yearFE42 |   -1.09597    .401813    -2.73   0.007    -1.889872   -.3020682
                                     yearFE43 |  -.9728461   .4100335    -2.37   0.019     -1.78299   -.1627024
                                     yearFE44 |  -.9732517   .4099143    -2.37   0.019     -1.78316   -.1633435
                                     yearFE45 |  -.9384232   .4156647    -2.26   0.025    -1.759693   -.1171533
                                     yearFE46 |  -.6156037   .3911605    -1.57   0.118    -1.388458    .1572508
                                     yearFE47 |  -.6619877   .3712854    -1.78   0.077    -1.395573    .0715975
                                     yearFE48 |  -.5560637   .3491446    -1.59   0.113    -1.245903    .1337758
                                     yearFE49 |  -.6601286   .3269051    -2.02   0.045    -1.306027   -.0142299
                                     yearFE50 |  -.8172436   .3389721    -2.41   0.017    -1.486984    -.147503
                                     yearFE51 |  -1.035004   .3231605    -3.20   0.002    -1.673504   -.3965035
                                     yearFE52 |  -1.073431   .3267949    -3.28   0.001    -1.719112   -.4277502
                                     yearFE53 |   -.887148   .3234426    -2.74   0.007    -1.526205   -.2480905
                                     yearFE54 |  -1.343483   .3069685    -4.38   0.000    -1.949991   -.7369748
                                     yearFE55 |  -1.239069   .3104775    -3.99   0.000     -1.85251   -.6256281
                                     yearFE56 |  -1.005415    .286512    -3.51   0.001    -1.571505   -.4393251
                                     yearFE57 |   -1.08691   .3024874    -3.59   0.000    -1.684564   -.4892556
                                     yearFE58 |  -1.064414    .269075    -3.96   0.000    -1.596053   -.5327764
                                     yearFE59 |   -.814203   .2374612    -3.43   0.001    -1.283379   -.3450275
                                     yearFE60 |  -.7821147   .2408608    -3.25   0.001    -1.258007   -.3062223
                                     yearFE61 |  -.8314281   .2187664    -3.80   0.000    -1.263667   -.3991896
                                     yearFE62 |  -.5654492   .2079624    -2.72   0.007     -.976341   -.1545574
                                     yearFE63 |  -.2403555   .2053897    -1.17   0.244    -.6461643    .1654533
                                     yearFE64 |  -.0403955   .2217137    -0.18   0.856    -.4784571    .3976661
                                     yearFE65 |   .0953555   .2357678     0.40   0.686    -.3704743    .5611853
                                     yearFE66 |  -.0273943   .1975379    -0.14   0.890    -.4176895    .3629009
                                     yearFE67 |   -.314057   .2072525    -1.52   0.132    -.7235462    .0954322
                                     yearFE68 |  -.3276356   .1884644    -1.74   0.084    -.7000034    .0447321
                                     yearFE69 |   .2758971   .2090522     1.32   0.189    -.1371479    .6889421
                                     yearFE70 |          0  (omitted)
                                        _cons |   8.400944   9.152698     0.92   0.360    -9.682947    26.48484
----------------------------------------------+----------------------------------------------------------------
                                      sigma_u |  1.9823143
                                      sigma_e |  1.6293174
                                          rho |  .59681403   (fraction of variance due to u_i)
---------------------------------------------------------------------------------------------------------------

.                 est store tab2a3

.                 estadd local "Dependent" UWB loans

added macro:
          e(Dependent) : "UWB loans"

.                 estadd local "Votes" important                          

added macro:
              e(Votes) : "important"

.         margins, dydx(votedallwithUSA_higoo_nor) at(past_unga = (0 (0.05) 1))

Average marginal effects                        Number of obs     =      4,926
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : votedallwithUSA_higoo_nor

1._at        : past_ungaUSA    =           0

2._at        : past_ungaUSA    =         .05

3._at        : past_ungaUSA    =          .1

4._at        : past_ungaUSA    =         .15

5._at        : past_ungaUSA    =          .2

6._at        : past_ungaUSA    =         .25

7._at        : past_ungaUSA    =          .3

8._at        : past_ungaUSA    =         .35

9._at        : past_ungaUSA    =          .4

10._at       : past_ungaUSA    =         .45

11._at       : past_ungaUSA    =          .5

12._at       : past_ungaUSA    =         .55

13._at       : past_ungaUSA    =          .6

14._at       : past_ungaUSA    =         .65

15._at       : past_ungaUSA    =          .7

16._at       : past_ungaUSA    =         .75

17._at       : past_ungaUSA    =          .8

18._at       : past_ungaUSA    =         .85

19._at       : past_ungaUSA    =          .9

20._at       : past_ungaUSA    =         .95

21._at       : past_ungaUSA    =           1

-------------------------------------------------------------------------------------------
                          |            Delta-method
                          |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------------+----------------------------------------------------------------
votedallwithUSA_higoo_nor |
                      _at |
                       1  |   .9612882   .3320386     2.90   0.004     .3105046    1.612072
                       2  |   .8533124   .2739014     3.12   0.002     .3164756    1.390149
                       3  |   .7453366   .2198664     3.39   0.001     .3144064    1.176267
                       4  |   .6373608   .1738028     3.67   0.000     .2967135    .9780081
                       5  |    .529385   .1435986     3.69   0.000      .247937     .810833
                       6  |   .4214092   .1399307     3.01   0.003     .1471502    .6956683
                       7  |   .3134334    .164583     1.90   0.057    -.0091433    .6360101
                       8  |   .2054577   .2077052     0.99   0.323     -.201637    .6125523
                       9  |   .0974818   .2602734     0.37   0.708    -.4126447    .6076084
                      10  |  -.0104939   .3176318    -0.03   0.974    -.6330409     .612053
                      11  |  -.1184697   .3776038    -0.31   0.754    -.8585596    .6216201
                      12  |  -.2264456   .4391198    -0.52   0.606    -1.087105    .6342135
                      13  |  -.3344214   .5016122    -0.67   0.505    -1.317563    .6487204
                      14  |  -.4423971   .5647567    -0.78   0.433      -1.5493    .6645057
                      15  |  -.5503729    .628357    -0.88   0.381     -1.78193    .6811841
                      16  |  -.6583487   .6922873    -0.95   0.342    -2.015207    .6985095
                      17  |  -.7663245   .7564641    -1.01   0.311    -2.248967    .7163179
                      18  |  -.8743003   .8208295    -1.07   0.287    -2.483097     .734496
                      19  |   -.982276   .8853423    -1.11   0.267    -2.717515     .752963
                      20  |  -1.090252   .9499726    -1.15   0.251    -2.952164    .7716603
                      21  |  -1.198228   1.014698    -1.18   0.238    -3.186999    .7905438
-------------------------------------------------------------------------------------------

.         marginsplot, level(95) title("Dependent variable: WB loans", color(black) size(medium)) xtitle("Allied" "(political pr
> oximity to US in previous period)") ytitle("Effect of UNSC, all with US" "only important resolutions (Google)") legend(off) gr
> aphregion(color(white)) bgcolor(white)  ///
>                 ylabel(-3 (1) 3 , nogrid angle(0) axis(1))  yscale(range(-3 3) axis(1)) xscale(range(0 1)) xlabel(0 (0.2) 1) p
> lotopts(msize(small) mcolor(black) lcolor(black)) ciopts(lwidth(thin) lcolor(black)) yline(0, lcolor(maroon)) ///
>                 addplot(hist past_unga if e(sample) , below color("252 205 85") fcolor(none)  yaxis(2) ylabel(0 (2) 6, axis(2)
>  angle(0)) yscale(alt range(0 8) axis(2) ))  

  Variables that uniquely identify margins: past_ungaUSA

.         graph export "graphs/FigureA6_8.png", replace   
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/FigureA6_8.png written in PNG format)

.         
. *table
. xtreg lnWBlend   votedallwithUSA_higoo_nor  votednotallwithUSA_higoo_nor unscallimp_pastunga unscnotallimpXpastunga past_unga 
>   l_lngdppcconst lnpop  yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid)
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      4,926
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.0745                                         min =          5
     between = 0.0482                                         avg =       32.4
     overall = 0.0002                                         max =         46

                                                F(52,151)         =       8.45
corr(u_i, Xb)  = -0.3719                        Prob > F          =     0.0000

                                            (Std. Err. adjusted for 152 clusters in countryid)
----------------------------------------------------------------------------------------------
                             |               Robust
                    lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------------+----------------------------------------------------------------
   votedallwithUSA_higoo_nor |   .9612882   .3320386     2.90   0.004     .3052468     1.61733
votednotallwithUSA_higoo_nor |  -.0012173    .368071    -0.00   0.997    -.7284516    .7260171
         unscallimp_pastunga |  -2.159516   1.307434    -1.65   0.101    -4.742743    .4237115
      unscnotallimpXpastunga |   .7901829   1.507826     0.52   0.601    -2.188978    3.769344
                past_ungaUSA |   2.879613   .8744844     3.29   0.001     1.151807    4.607418
              l_lngdppcconst |   -.385283   .2256466    -1.71   0.090    -.8311154    .0605493
                       lnpop |  -.1445007   .5254163    -0.28   0.784    -1.182618    .8936162
                     yearFE1 |          0  (omitted)
                     yearFE2 |          0  (omitted)
                     yearFE3 |          0  (omitted)
                     yearFE4 |          0  (omitted)
                     yearFE5 |          0  (omitted)
                     yearFE6 |          0  (omitted)
                     yearFE7 |          0  (omitted)
                     yearFE8 |          0  (omitted)
                     yearFE9 |          0  (omitted)
                    yearFE10 |          0  (omitted)
                    yearFE11 |          0  (omitted)
                    yearFE12 |          0  (omitted)
                    yearFE13 |          0  (omitted)
                    yearFE14 |          0  (omitted)
                    yearFE15 |          0  (omitted)
                    yearFE16 |          0  (omitted)
                    yearFE17 |          0  (omitted)
                    yearFE18 |          0  (omitted)
                    yearFE19 |          0  (omitted)
                    yearFE20 |          0  (omitted)
                    yearFE21 |          0  (omitted)
                    yearFE22 |          0  (omitted)
                    yearFE23 |          0  (omitted)
                    yearFE24 |          0  (omitted)
                    yearFE25 |  -3.090699   .6832314    -4.52   0.000    -4.440626   -1.740771
                    yearFE26 |  -3.207919   .6682481    -4.80   0.000    -4.528243   -1.887595
                    yearFE27 |  -2.971457   .6649685    -4.47   0.000    -4.285301   -1.657613
                    yearFE28 |  -2.453998   .6594792    -3.72   0.000    -3.756996      -1.151
                    yearFE29 |  -2.413754   .6485162    -3.72   0.000    -3.695092   -1.132417
                    yearFE30 |  -2.103908   .5968212    -3.53   0.001    -3.283107   -.9247093
                    yearFE31 |  -1.848249   .5741962    -3.22   0.002    -2.982745   -.7137525
                    yearFE32 |  -1.822866   .5234642    -3.48   0.001    -2.857126   -.7886058
                    yearFE33 |  -1.451458   .5311989    -2.73   0.007       -2.501   -.4019162
                    yearFE34 |    -1.3607   .4920369    -2.77   0.006    -2.332866    -.388534
                    yearFE35 |  -1.253154   .4940536    -2.54   0.012    -2.229304   -.2770033
                    yearFE36 |  -1.435485   .4760319    -3.02   0.003    -2.376028   -.4949414
                    yearFE37 |  -1.704664   .4807559    -3.55   0.001    -2.654541   -.7547875
                    yearFE38 |  -1.313621   .4567781    -2.88   0.005    -2.216123   -.4111198
                    yearFE39 |    -1.4098   .4406527    -3.20   0.002    -2.280441   -.5391592
                    yearFE40 |  -1.026305   .4141065    -2.48   0.014    -1.844496   -.2081138
                    yearFE41 |  -1.143607   .4072946    -2.81   0.006    -1.948339   -.3388748
                    yearFE42 |   -1.09597    .401813    -2.73   0.007    -1.889872   -.3020682
                    yearFE43 |  -.9728461   .4100335    -2.37   0.019     -1.78299   -.1627024
                    yearFE44 |  -.9732517   .4099143    -2.37   0.019     -1.78316   -.1633435
                    yearFE45 |  -.9384232   .4156647    -2.26   0.025    -1.759693   -.1171533
                    yearFE46 |  -.6156037   .3911605    -1.57   0.118    -1.388458    .1572508
                    yearFE47 |  -.6619877   .3712854    -1.78   0.077    -1.395573    .0715975
                    yearFE48 |  -.5560637   .3491446    -1.59   0.113    -1.245903    .1337758
                    yearFE49 |  -.6601286   .3269051    -2.02   0.045    -1.306027   -.0142299
                    yearFE50 |  -.8172436   .3389721    -2.41   0.017    -1.486984    -.147503
                    yearFE51 |  -1.035004   .3231605    -3.20   0.002    -1.673504   -.3965035
                    yearFE52 |  -1.073431   .3267949    -3.28   0.001    -1.719112   -.4277502
                    yearFE53 |   -.887148   .3234426    -2.74   0.007    -1.526205   -.2480905
                    yearFE54 |  -1.343483   .3069685    -4.38   0.000    -1.949991   -.7369748
                    yearFE55 |  -1.239069   .3104775    -3.99   0.000     -1.85251   -.6256281
                    yearFE56 |  -1.005415    .286512    -3.51   0.001    -1.571505   -.4393251
                    yearFE57 |   -1.08691   .3024874    -3.59   0.000    -1.684564   -.4892556
                    yearFE58 |  -1.064414    .269075    -3.96   0.000    -1.596053   -.5327764
                    yearFE59 |   -.814203   .2374612    -3.43   0.001    -1.283379   -.3450275
                    yearFE60 |  -.7821147   .2408608    -3.25   0.001    -1.258007   -.3062223
                    yearFE61 |  -.8314281   .2187664    -3.80   0.000    -1.263667   -.3991896
                    yearFE62 |  -.5654492   .2079624    -2.72   0.007     -.976341   -.1545574
                    yearFE63 |  -.2403555   .2053897    -1.17   0.244    -.6461643    .1654533
                    yearFE64 |  -.0403955   .2217137    -0.18   0.856    -.4784571    .3976661
                    yearFE65 |   .0953555   .2357678     0.40   0.686    -.3704743    .5611853
                    yearFE66 |  -.0273943   .1975379    -0.14   0.890    -.4176895    .3629009
                    yearFE67 |   -.314057   .2072525    -1.52   0.132    -.7235462    .0954322
                    yearFE68 |  -.3276356   .1884644    -1.74   0.084    -.7000034    .0447321
                    yearFE69 |   .2758971   .2090522     1.32   0.189    -.1371479    .6889421
                    yearFE70 |          0  (omitted)
                       _cons |   8.400944   9.152698     0.92   0.360    -9.682947    26.48484
-----------------------------+----------------------------------------------------------------
                     sigma_u |  1.9823143
                     sigma_e |  1.6293174
                         rho |  .59681403   (fraction of variance due to u_i)
----------------------------------------------------------------------------------------------

.         est store tab2a3

. 
. est store tWBgoogle

.                 estadd local "Dependent" WB loans

added macro:
          e(Dependent) : "WB loans"

.                 estadd local "Votes" Google

added macro:
              e(Votes) : "Google"

.                 
. 
. ***Israel
. 
. *graph
. xtreg lnWBlend    c.votedallwithUSA_isr##c.past_unga c.votednotallwithUSA_isr##c.past_unga              l_lngdppcconst lnpop  
>  yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: past_ungaUSA omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE32 omitted because of collinearity
note: yearFE39 omitted because of collinearity
note: yearFE52 omitted because of collinearity
note: yearFE53 omitted because of collinearity
note: yearFE54 omitted because of collinearity
note: yearFE60 omitted because of collinearity
note: yearFE62 omitted because of collinearity
note: yearFE65 omitted because of collinearity
note: yearFE66 omitted because of collinearity
note: yearFE67 omitted because of collinearity
note: yearFE68 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      3,406
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.0738                                         min =          2
     between = 0.2984                                         avg =       22.4
     overall = 0.1367                                         max =         34

                                                F(40,151)         =       6.15
corr(u_i, Xb)  = -0.8217                        Prob > F          =     0.0000

                                                       (Std. Err. adjusted for 152 clusters in countryid)
---------------------------------------------------------------------------------------------------------
                                        |               Robust
                               lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------------------------+----------------------------------------------------------------
                    votedallwithUSA_isr |   1.016443   .4729865     2.15   0.033     .0819167    1.950969
                           past_ungaUSA |   2.298809   .9723092     2.36   0.019      .377722    4.219897
                                        |
   c.votedallwithUSA_isr#c.past_ungaUSA |  -2.551213   1.441031    -1.77   0.079      -5.3984     .295975
                                        |
                 votednotallwithUSA_isr |  -.3409739   .3528173    -0.97   0.335     -1.03807    .3561221
                           past_ungaUSA |          0  (omitted)
                                        |
c.votednotallwithUSA_isr#c.past_ungaUSA |   2.022069   1.200763     1.68   0.094    -.3503978    4.394535
                                        |
                         l_lngdppcconst |  -.5428452   .2402127    -2.26   0.025    -1.017457   -.0682331
                                  lnpop |   -.625834   .6458515    -0.97   0.334    -1.901907    .6502386
                                yearFE1 |          0  (omitted)
                                yearFE2 |          0  (omitted)
                                yearFE3 |          0  (omitted)
                                yearFE4 |          0  (omitted)
                                yearFE5 |          0  (omitted)
                                yearFE6 |          0  (omitted)
                                yearFE7 |          0  (omitted)
                                yearFE8 |          0  (omitted)
                                yearFE9 |          0  (omitted)
                               yearFE10 |          0  (omitted)
                               yearFE11 |          0  (omitted)
                               yearFE12 |          0  (omitted)
                               yearFE13 |          0  (omitted)
                               yearFE14 |          0  (omitted)
                               yearFE15 |          0  (omitted)
                               yearFE16 |          0  (omitted)
                               yearFE17 |          0  (omitted)
                               yearFE18 |          0  (omitted)
                               yearFE19 |          0  (omitted)
                               yearFE20 |          0  (omitted)
                               yearFE21 |          0  (omitted)
                               yearFE22 |          0  (omitted)
                               yearFE23 |          0  (omitted)
                               yearFE24 |          0  (omitted)
                               yearFE25 |  -3.469429   .7713026    -4.50   0.000    -4.993367    -1.94549
                               yearFE26 |  -3.562608   .7539765    -4.73   0.000    -5.052314   -2.072902
                               yearFE27 |  -3.305205   .7499045    -4.41   0.000    -4.786865   -1.823544
                               yearFE28 |  -2.783314   .7520591    -3.70   0.000    -4.269231   -1.297396
                               yearFE29 |  -2.721749   .7376876    -3.69   0.000    -4.179271   -1.264227
                               yearFE30 |  -2.436002   .6831292    -3.57   0.000    -3.785728   -1.086276
                               yearFE31 |  -2.162917   .6522425    -3.32   0.001    -3.451617   -.8742172
                               yearFE32 |          0  (omitted)
                               yearFE33 |  -1.781971    .585048    -3.05   0.003    -2.937908   -.6260339
                               yearFE34 |  -1.670224   .5494795    -3.04   0.003    -2.755885   -.5845626
                               yearFE35 |  -1.542069   .5627049    -2.74   0.007    -2.653861   -.4302771
                               yearFE36 |  -1.694319   .5318981    -3.19   0.002    -2.745243   -.6433953
                               yearFE37 |  -1.953041   .5472804    -3.57   0.000    -3.034357   -.8717247
                               yearFE38 |  -1.536429   .4999274    -3.07   0.003    -2.524185   -.5486725
                               yearFE39 |          0  (omitted)
                               yearFE40 |  -1.303563   .4525027    -2.88   0.005    -2.197617   -.4095084
                               yearFE41 |  -1.415144   .4300617    -3.29   0.001     -2.26486    -.565429
                               yearFE42 |  -1.377209   .4259991    -3.23   0.002    -2.218897   -.5355205
                               yearFE43 |  -1.223183   .4076577    -3.00   0.003    -2.028633   -.4177336
                               yearFE44 |  -1.285884   .4193614    -3.07   0.003    -2.114458   -.4573106
                               yearFE45 |  -1.169322   .4158951    -2.81   0.006    -1.991047   -.3475968
                               yearFE46 |  -.8671554   .3709261    -2.34   0.021    -1.600031     -.13428
                               yearFE47 |  -.8755586   .3579486    -2.45   0.016    -1.582793   -.1683241
                               yearFE48 |  -.7549054    .342031    -2.21   0.029     -1.43069   -.0791208
                               yearFE49 |  -.8525239   .3173882    -2.69   0.008    -1.479619   -.2254287
                               yearFE50 |  -.9620863   .3060927    -3.14   0.002    -1.566864   -.3573086
                               yearFE51 |  -1.151014   .3074434    -3.74   0.000    -1.758461   -.5435679
                               yearFE52 |          0  (omitted)
                               yearFE53 |          0  (omitted)
                               yearFE54 |          0  (omitted)
                               yearFE55 |  -1.251994   .2933773    -4.27   0.000    -1.831649   -.6723397
                               yearFE56 |  -1.024186   .2628757    -3.90   0.000    -1.543575   -.5047962
                               yearFE57 |   -1.10275   .2743417    -4.02   0.000    -1.644794   -.5607056
                               yearFE58 |  -1.081111   .2632012    -4.11   0.000    -1.601143    -.561078
                               yearFE59 |  -.8291218   .2280353    -3.64   0.000    -1.279674   -.3785699
                               yearFE60 |          0  (omitted)
                               yearFE61 |  -.8498148   .1919898    -4.43   0.000    -1.229148   -.4704815
                               yearFE62 |          0  (omitted)
                               yearFE63 |  -.2651981   .1654704    -1.60   0.111    -.5921344    .0617382
                               yearFE64 |  -.0988532    .172092    -0.57   0.567    -.4388724    .2411661
                               yearFE65 |          0  (omitted)
                               yearFE66 |          0  (omitted)
                               yearFE67 |          0  (omitted)
                               yearFE68 |          0  (omitted)
                               yearFE69 |          0  (omitted)
                               yearFE70 |          0  (omitted)
                                  _cons |   17.40478   10.91397     1.59   0.113    -4.159027    38.96859
----------------------------------------+----------------------------------------------------------------
                                sigma_u |  2.8035631
                                sigma_e |  1.6010877
                                    rho |  .75406584   (fraction of variance due to u_i)
---------------------------------------------------------------------------------------------------------

.         margins, dydx(votedallwithUSA_isr) at(past_unga = (0 (0.05) 1))

Average marginal effects                        Number of obs     =      3,406
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : votedallwithUSA_isr

1._at        : past_ungaUSA    =           0

2._at        : past_ungaUSA    =         .05

3._at        : past_ungaUSA    =          .1

4._at        : past_ungaUSA    =         .15

5._at        : past_ungaUSA    =          .2

6._at        : past_ungaUSA    =         .25

7._at        : past_ungaUSA    =          .3

8._at        : past_ungaUSA    =         .35

9._at        : past_ungaUSA    =          .4

10._at       : past_ungaUSA    =         .45

11._at       : past_ungaUSA    =          .5

12._at       : past_ungaUSA    =         .55

13._at       : past_ungaUSA    =          .6

14._at       : past_ungaUSA    =         .65

15._at       : past_ungaUSA    =          .7

16._at       : past_ungaUSA    =         .75

17._at       : past_ungaUSA    =          .8

18._at       : past_ungaUSA    =         .85

19._at       : past_ungaUSA    =          .9

20._at       : past_ungaUSA    =         .95

21._at       : past_ungaUSA    =           1

-------------------------------------------------------------------------------------
                    |            Delta-method
                    |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
votedallwithUSA_isr |
                _at |
                 1  |   1.016443   .4729865     2.15   0.032     .0894064    1.943479
                 2  |   .8888822   .4114956     2.16   0.031     .0823655    1.695399
                 3  |   .7613216   .3540113     2.15   0.032     .0674722    1.455171
                 4  |   .6337609   .3028237     2.09   0.036     .0402375    1.227284
                 5  |   .5062003   .2616547     1.93   0.053    -.0066335    1.019034
                 6  |   .3786397   .2358115     1.61   0.108    -.0835424    .8408218
                 7  |    .251079   .2305077     1.09   0.276    -.2007078    .7028659
                 8  |   .1235184   .2470696     0.50   0.617    -.3607291     .607766
                 9  |  -.0040422   .2816662    -0.01   0.989    -.5560978    .5480133
                10  |  -.1316028   .3286504    -0.40   0.689    -.7757458    .5125402
                11  |  -.2591635   .3834961    -0.68   0.499    -1.010802    .4924751
                12  |  -.3867241   .4432948    -0.87   0.383    -1.255566    .4821177
                13  |  -.5142848   .5062945    -1.02   0.310    -1.506604    .4780342
                14  |  -.6418453   .5714375    -1.12   0.261    -1.761842    .4781516
                15  |  -.7694059   .6380677    -1.21   0.228    -2.019996    .4811837
                16  |  -.8969666    .705764    -1.27   0.204    -2.280239    .4863053
                17  |  -1.024527   .7742468    -1.32   0.186    -2.542023    .4929685
                18  |  -1.152088   .8433245    -1.37   0.172    -2.804974    .5007977
                19  |  -1.279648    .912862    -1.40   0.161    -3.068825    .5095282
                20  |  -1.407209   .9827619    -1.43   0.152    -3.333387    .5189688
                21  |   -1.53477   1.052952    -1.46   0.145    -3.598517    .5289779
-------------------------------------------------------------------------------------

.         marginsplot, level(95) title("Dependent variable: WB loans", color(black) size(medium)) xtitle("Allied" "(political pr
> oximity to US in previous period)") ytitle("Effect of UNSC, all with US" "only Israel-related resolution") legend(off) graphre
> gion(color(white)) bgcolor(white)  ///
>                 ylabel(-3 (1) 3 , nogrid angle(0) axis(1))  yscale(range(-3 3) axis(1)) xscale(range(0 1)) xlabel(0 (0.2) 1) p
> lotopts(msize(small) mcolor(black) lcolor(black)) ciopts(lwidth(thin) lcolor(black)) yline(0, lcolor(maroon)) ///
>                 addplot(hist past_unga if e(sample) , below color("252 205 85") fcolor(none)  yaxis(2) ylabel(0 (2) 6, axis(2)
>  angle(0)) yscale(alt range(0 8) axis(2) ))  

  Variables that uniquely identify margins: past_ungaUSA

.         graph export "graphs/FigureA6_9.png", replace   
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/FigureA6_9.png written in PNG format)

. 
. *table
.          xtreg lnWBlend   votedallwithUSA_isr  votednotallwithUSA_isr unscallisr_pastunga unscnotallisrXpastunga past_unga    
>   l_lngdppcconst lnpop  yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid)
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE32 omitted because of collinearity
note: yearFE39 omitted because of collinearity
note: yearFE52 omitted because of collinearity
note: yearFE53 omitted because of collinearity
note: yearFE54 omitted because of collinearity
note: yearFE60 omitted because of collinearity
note: yearFE62 omitted because of collinearity
note: yearFE65 omitted because of collinearity
note: yearFE66 omitted because of collinearity
note: yearFE67 omitted because of collinearity
note: yearFE68 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      3,406
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.0738                                         min =          2
     between = 0.2984                                         avg =       22.4
     overall = 0.1367                                         max =         34

                                                F(40,151)         =       6.15
corr(u_i, Xb)  = -0.8217                        Prob > F          =     0.0000

                                      (Std. Err. adjusted for 152 clusters in countryid)
----------------------------------------------------------------------------------------
                       |               Robust
              lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------+----------------------------------------------------------------
   votedallwithUSA_isr |   1.016443   .4729865     2.15   0.033     .0819167    1.950969
votednotallwithUSA_isr |  -.3409739   .3528173    -0.97   0.335     -1.03807    .3561221
   unscallisr_pastunga |  -2.551213   1.441031    -1.77   0.079      -5.3984     .295975
unscnotallisrXpastunga |   2.022069   1.200763     1.68   0.094    -.3503978    4.394535
          past_ungaUSA |   2.298809   .9723092     2.36   0.019      .377722    4.219897
        l_lngdppcconst |  -.5428452   .2402127    -2.26   0.025    -1.017457   -.0682331
                 lnpop |   -.625834   .6458515    -0.97   0.334    -1.901907    .6502386
               yearFE1 |          0  (omitted)
               yearFE2 |          0  (omitted)
               yearFE3 |          0  (omitted)
               yearFE4 |          0  (omitted)
               yearFE5 |          0  (omitted)
               yearFE6 |          0  (omitted)
               yearFE7 |          0  (omitted)
               yearFE8 |          0  (omitted)
               yearFE9 |          0  (omitted)
              yearFE10 |          0  (omitted)
              yearFE11 |          0  (omitted)
              yearFE12 |          0  (omitted)
              yearFE13 |          0  (omitted)
              yearFE14 |          0  (omitted)
              yearFE15 |          0  (omitted)
              yearFE16 |          0  (omitted)
              yearFE17 |          0  (omitted)
              yearFE18 |          0  (omitted)
              yearFE19 |          0  (omitted)
              yearFE20 |          0  (omitted)
              yearFE21 |          0  (omitted)
              yearFE22 |          0  (omitted)
              yearFE23 |          0  (omitted)
              yearFE24 |          0  (omitted)
              yearFE25 |  -3.469429   .7713026    -4.50   0.000    -4.993367    -1.94549
              yearFE26 |  -3.562608   .7539765    -4.73   0.000    -5.052314   -2.072902
              yearFE27 |  -3.305205   .7499045    -4.41   0.000    -4.786865   -1.823544
              yearFE28 |  -2.783314   .7520591    -3.70   0.000    -4.269231   -1.297396
              yearFE29 |  -2.721749   .7376876    -3.69   0.000    -4.179271   -1.264227
              yearFE30 |  -2.436002   .6831292    -3.57   0.000    -3.785728   -1.086276
              yearFE31 |  -2.162917   .6522425    -3.32   0.001    -3.451617   -.8742172
              yearFE32 |          0  (omitted)
              yearFE33 |  -1.781971    .585048    -3.05   0.003    -2.937908   -.6260339
              yearFE34 |  -1.670224   .5494795    -3.04   0.003    -2.755885   -.5845626
              yearFE35 |  -1.542069   .5627049    -2.74   0.007    -2.653861   -.4302771
              yearFE36 |  -1.694319   .5318981    -3.19   0.002    -2.745243   -.6433953
              yearFE37 |  -1.953041   .5472804    -3.57   0.000    -3.034357   -.8717247
              yearFE38 |  -1.536429   .4999274    -3.07   0.003    -2.524185   -.5486725
              yearFE39 |          0  (omitted)
              yearFE40 |  -1.303563   .4525027    -2.88   0.005    -2.197617   -.4095084
              yearFE41 |  -1.415144   .4300617    -3.29   0.001     -2.26486    -.565429
              yearFE42 |  -1.377209   .4259991    -3.23   0.002    -2.218897   -.5355205
              yearFE43 |  -1.223183   .4076577    -3.00   0.003    -2.028633   -.4177336
              yearFE44 |  -1.285884   .4193614    -3.07   0.003    -2.114458   -.4573106
              yearFE45 |  -1.169322   .4158951    -2.81   0.006    -1.991047   -.3475968
              yearFE46 |  -.8671554   .3709261    -2.34   0.021    -1.600031     -.13428
              yearFE47 |  -.8755586   .3579486    -2.45   0.016    -1.582793   -.1683241
              yearFE48 |  -.7549054    .342031    -2.21   0.029     -1.43069   -.0791208
              yearFE49 |  -.8525239   .3173882    -2.69   0.008    -1.479619   -.2254287
              yearFE50 |  -.9620863   .3060927    -3.14   0.002    -1.566864   -.3573086
              yearFE51 |  -1.151014   .3074434    -3.74   0.000    -1.758461   -.5435679
              yearFE52 |          0  (omitted)
              yearFE53 |          0  (omitted)
              yearFE54 |          0  (omitted)
              yearFE55 |  -1.251994   .2933773    -4.27   0.000    -1.831649   -.6723397
              yearFE56 |  -1.024186   .2628757    -3.90   0.000    -1.543575   -.5047962
              yearFE57 |   -1.10275   .2743417    -4.02   0.000    -1.644794   -.5607056
              yearFE58 |  -1.081111   .2632012    -4.11   0.000    -1.601143    -.561078
              yearFE59 |  -.8291218   .2280353    -3.64   0.000    -1.279674   -.3785699
              yearFE60 |          0  (omitted)
              yearFE61 |  -.8498148   .1919898    -4.43   0.000    -1.229148   -.4704815
              yearFE62 |          0  (omitted)
              yearFE63 |  -.2651981   .1654704    -1.60   0.111    -.5921344    .0617382
              yearFE64 |  -.0988532    .172092    -0.57   0.567    -.4388724    .2411661
              yearFE65 |          0  (omitted)
              yearFE66 |          0  (omitted)
              yearFE67 |          0  (omitted)
              yearFE68 |          0  (omitted)
              yearFE69 |          0  (omitted)
              yearFE70 |          0  (omitted)
                 _cons |   17.40478   10.91397     1.59   0.113    -4.159027    38.96859
-----------------------+----------------------------------------------------------------
               sigma_u |  2.8035631
               sigma_e |  1.6010877
                   rho |  .75406584   (fraction of variance due to u_i)
----------------------------------------------------------------------------------------

.         est store tWBisrael

.                 estadd local "Dependent" WB loans

added macro:
          e(Dependent) : "WB loans"

.                 estadd local "Votes" Israel

added macro:
              e(Votes) : "Israel"

. 
. 
. 
. estout tUS* tIMF* tWB* using "tables/TableA8.xls", title(" ") ///
>          replace delimiter(_tab) label noabbrev style(tab) collabels(none) ///
>          drop(_cons ) indicate("Country FE and Year FE" = yearFE*)  ///
>          order( ///
>          votedallwithUSA_imp votednotallwithUSA_imp votedallwithUSA_impXunga votednotallwithUSA_impXunga ///
>          votedallwithUSA_higoo_nor  votednotallwithUSA_higoo_nor unscallimp_pastunga unscnotallimpXpastunga ///
>          votedallwithUSA_isr  votednotallwithUSA_isr unscallisr_pastunga unscnotallisrXpastunga ) ///
>          cells(b(star fmt(3)) se(par([ ]) abs fmt(3))) starlevels(* 0.1 ** 0.05 *** 0.01) ///
>          stats(N r2 Votes Dependent, fmt(0 3 0) label( "Observations" "R-squared" "Votes" "Dependent Variable"))  ///
>          mlabels("[1]" "[2]" "[3]" "[4]" "[5]" "[6]" "[7]" "[8]" "[9]" "[10]" "[11]" "[12]") ///
>          note("Notes: Standard errors clustered on the country-level are in brackets. Significance levels: * p < 0.1; ** p < 0
> .05; *** p < 0.01")
(output written to tables/TableA8.xls)

. 
.         
.         
. *FIGURE A7
.         
.         use "rawunscdata.dta", replace

.         
.         * count the number of votes against US per resolution
.         gen numberagainstUS =           NO + ABSTAIN    if UnitedStates == 1
(210 missing values generated)

.         replace numberagainstUS =       YES + NO                if UnitedStates == 2
(111 real changes made)

.         replace numberagainstUS =       YES + NO                if UnitedStates == 8
(2 real changes made)

.         replace numberagainstUS =       YES + ABSTAIN   if UnitedStates == 3
(97 real changes made)

.  
.         hist numberagainstUS if res_memberadmit == 1, frequency bin(15) title("Admission of new members") xtitle("Number of vo
> tes against US") ytitle("Frequency") scheme(plotplain)
(bin=15, start=0, width=.93333333)

.         graph save "graphs/memberadmit", replace
(note: file graphs/memberadmit.gph not found)
(file graphs/memberadmit.gph saved)

.         hist numberagainstUS if res_israel == 1, frequency bin(15) title("Israel") xtitle("Number of votes against US") ytitle
> ("Frequency") scheme(plotplain)
(bin=15, start=0, width=.93333333)

.         graph save "graphs/israel", replace
(note: file graphs/israel.gph not found)
(file graphs/israel.gph saved)

.         hist numberagainstUS if res_lebanon == 1, frequency bin(15) title("Lebanon") xtitle("Number of votes against US") ytit
> le("Frequency") scheme(plotplain)
(bin=15, start=0, width=.93333333)

.         graph save "graphs/lebanon", replace
(note: file graphs/lebanon.gph not found)
(file graphs/lebanon.gph saved)

.         hist numberagainstUS if res_cyprus == 1, frequency bin(15) title("Cyprus") xtitle("Number of votes against US") ytitle
> ("Frequency") scheme(plotplain)
(bin=15, start=0, width=.93333333)

.         graph save "graphs/cyprus", replace
(note: file graphs/cyprus.gph not found)
(file graphs/cyprus.gph saved)

.         hist numberagainstUS if res_sanction == 1, frequency bin(15) title("Sanctions") xtitle("Number of votes against US") y
> title("Frequency") scheme(plotplain)
(bin=15, start=0, width=.93333333)

.         graph save "graphs/sanction", replace
(note: file graphs/sanction.gph not found)
(file graphs/sanction.gph saved)

.         hist numberagainstUS if res_extent == 1, frequency bin(15) title("Extensions of existing resolutions") xtitle("Number 
> of votes against US") ytitle("Frequency") scheme(plotplain)
(bin=15, start=0, width=.93333333)

.         graph save "graphs/extent", replace
(note: file graphs/extent.gph not found)
(file graphs/extent.gph saved)

.         
.         graph combine graphs/memberadmit.gph graphs/israel.gph graphs/lebanon.gph graphs/cyprus.gph graphs/sanction.gph graphs
> /extent.gph , col(2)

.         graph export "graphs/FigureA7.png", replace
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/FigureA7.png written in PNG format)

.         
.         erase "graphs/memberadmit.gph"

.         erase "graphs/israel.gph"

.         erase "graphs/lebanon.gph"

.         erase "graphs/cyprus.gph"

.         erase "graphs/sanction.gph"

.         erase "graphs/extent.gph"

. 
.         
. 
. *Table A9
. use "regressiondata.dta", clear

. 
. local exclusions "noisr noad noleb nocyp nosan noext"

. foreach ex of local exclusions {
  2.         gen votedallwithUS_`ex' = 0
  3.         replace votedallwithUS_`ex' = 1 if unsc == 1 & voteagainstUSA_`ex'_cymean == 0
  4.         gen votednotallwithUS_`ex' = 0
  5.         replace votednotallwithUS_`ex' = 1 if unsc == 1 & voteagainstUSA_`ex'_cymean > 0 & voteagainstUSA_`ex'_cymean != .
  6. }       
(605 real changes made)
(340 real changes made)
(516 real changes made)
(429 real changes made)
(516 real changes made)
(429 real changes made)
(518 real changes made)
(427 real changes made)
(524 real changes made)
(421 real changes made)
(515 real changes made)
(430 real changes made)

. 
. cap est drop US* IMF* WB*

. local exclusions "noad noisr noleb nocyp nosan noext"

. foreach ex of local exclusions {
  2.                 gen all = votedallwithUS_`ex'
  3.                 gen notall = votednotallwithUS_`ex'
  4.                 lab var all "UNSC, voted all with USA"
  5.                 lab var notall "UNSC, voted not all with USA"
  6.          xtreg  lnODAnetdis_USA         all notall      l_lngdppcconst lnpop  yearFE*  if oda == 1 & p5 == 0, fe cluster(co
> untryid) 
  7.                 est store US`ex'
  8.                 estadd local Dependent "US aid"
  9.                         if "`ex'" == "noisr" {
 10.                         estadd local Votes "Israel" 
 11.                         }
 12.                         if "`ex'" == "noad" {
 13.                         estadd local Votes "Admissions" 
 14.                         }
 15.                         if "`ex'" == "noleb" {
 16.                         estadd local Votes "Lebanon" 
 17.                         }
 18.                         if "`ex'" == "nocyp" {
 19.                         estadd local Votes "Cyprus" 
 20.                         }
 21.                         if "`ex'" == "nosan" {
 22.                         estadd local Votes "Sanctions" 
 23.                         }
 24.                         if "`ex'" == "noext" {
 25.                         estadd local Votes "Extensions" 
 26.                         }
 27.          xtreg  IMFcommitments_lny all notall   l_lngdppcconst lnpop pastIMF yearFE*  if oda == 1 & p5 == 0, fe cluster(cou
> ntryid) 
 28.                 est store IMF`ex'
 29.                 estadd local Dependent "IMF loans"
 30.                         if "`ex'" == "noisr" {
 31.                         estadd local Votes "Israel" 
 32.                         }
 33.                         if "`ex'" == "noad" {
 34.                         estadd local Votes "Admissions" 
 35.                         }
 36.                         if "`ex'" == "noleb" {
 37.                         estadd local Votes "Lebanon" 
 38.                         }
 39.                         if "`ex'" == "nocyp" {
 40.                         estadd local Votes "Cyprus" 
 41.                         }
 42.                         if "`ex'" == "nosan" {
 43.                         estadd local Votes "Sanctions" 
 44.                         }
 45.                         if "`ex'" == "noext" {
 46.                         estadd local Votes "Extensions" 
 47.                         }
 48.          xtreg  lnWBlend                        all notall      l_lngdppcconst lnpop  yearFE*  if oda == 1 & p5 == 0, fe cl
> uster(countryid) 
 49.                 est store WB`ex'
 50.                 drop all notall
 51.                 estadd local Dependent "WB loans"
 52.                         if "`ex'" == "noisr" {
 53.                         estadd local Votes "Israel" 
 54.                         }
 55.                         if "`ex'" == "noad" {
 56.                         estadd local Votes "Admissions" 
 57.                         }
 58.                         if "`ex'" == "noleb" {
 59.                         estadd local Votes "Lebanon" 
 60.                         }
 61.                         if "`ex'" == "nocyp" {
 62.                         estadd local Votes "Cyprus" 
 63.                         }
 64.                         if "`ex'" == "nosan" {
 65.                         estadd local Votes "Sanctions" 
 66.                         }
 67.                         if "`ex'" == "noext" {
 68.                         estadd local Votes "Extensions" 
 69.                         }
 70. }
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      6,141
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1374                                         min =          6
     between = 0.4140                                         avg =       40.4
     overall = 0.2722                                         max =         55

                                                F(58,151)         =       6.02
corr(u_i, Xb)  = -0.8502                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
lnODAnetdis_~A |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
           all |   .3476046   .1153802     3.01   0.003     .1196365    .5755727
        notall |   .0091089   .1392599     0.07   0.948    -.2660407    .2842585
l_lngdppcconst |  -.9543925   .2807349    -3.40   0.001    -1.509068   -.3997167
         lnpop |   1.232928   .6728458     1.83   0.069    -.0964797    2.562336
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |  -.2202933    .988105    -0.22   0.824     -2.17259    1.732003
      yearFE17 |   .2608933   .9575941     0.27   0.786     -1.63112    2.152907
      yearFE18 |   .2304373   .9416616     0.24   0.807    -1.630097    2.090971
      yearFE19 |   .0843231   .9157246     0.09   0.927    -1.724964    1.893611
      yearFE20 |   .3213595   .8933263     0.36   0.720    -1.443674    2.086393
      yearFE21 |   .3948444   .9037671     0.44   0.663    -1.390818    2.180506
      yearFE22 |   .2360142   .8750957     0.27   0.788    -1.492999    1.965027
      yearFE23 |   .0772959   .8628884     0.09   0.929    -1.627598     1.78219
      yearFE24 |  -.1167418   .8302411    -0.14   0.888    -1.757131    1.523648
      yearFE25 |  -.3324736    .808507    -0.41   0.681    -1.929921    1.264974
      yearFE26 |   -.324054   .7715181    -0.42   0.675    -1.848419    1.200311
      yearFE27 |  -.3273679   .7523168    -0.44   0.664    -1.813795    1.159059
      yearFE28 |   -.546824   .7283386    -0.75   0.454    -1.985875    .8922267
      yearFE29 |  -.5543188   .6994263    -0.79   0.429    -1.936245     .827607
      yearFE30 |  -.4492714   .6899162    -0.65   0.516    -1.812407    .9138643
      yearFE31 |  -.5264223   .6663709    -0.79   0.431    -1.843037    .7901927
      yearFE32 |  -.5608315   .6471387    -0.87   0.388    -1.839448    .7177845
      yearFE33 |  -.6473534   .6185774    -1.05   0.297    -1.869538    .5748311
      yearFE34 |  -.5579194   .6010102    -0.93   0.355    -1.745395    .6295558
      yearFE35 |  -.5041085   .5927467    -0.85   0.396    -1.675257    .6670397
      yearFE36 |   -.575705   .5819788    -0.99   0.324    -1.725578    .5741681
      yearFE37 |  -.6287663   .5663245    -1.11   0.269     -1.74771    .4901769
      yearFE38 |   -.536707    .550849    -0.97   0.331    -1.625074      .55166
      yearFE39 |  -.4935833   .5426533    -0.91   0.364    -1.565757    .5785905
      yearFE40 |  -.4339837   .5335699    -0.81   0.417    -1.488211    .6202432
      yearFE41 |  -.5181133   .5142964    -1.01   0.315     -1.53426     .498033
      yearFE42 |  -.6663872   .4942265    -1.35   0.180    -1.642879     .310105
      yearFE43 |  -.7612038   .4781758    -1.59   0.114    -1.705983    .1835754
      yearFE44 |  -.8795715    .457821    -1.92   0.057    -1.784134    .0249908
      yearFE45 |  -.8380706   .4533969    -1.85   0.066    -1.733892    .0577505
      yearFE46 |  -.8248994   .4348693    -1.90   0.060    -1.684114    .0343149
      yearFE47 |  -.9655077   .4074166    -2.37   0.019    -1.770481   -.1605345
      yearFE48 |  -.8287958   .3746111    -2.21   0.028    -1.568952   -.0886397
      yearFE49 |  -.8467924   .3857894    -2.19   0.030    -1.609035   -.0845502
      yearFE50 |   -1.01074   .3701596    -2.73   0.007    -1.742101    -.279379
      yearFE51 |  -1.217133   .3479357    -3.50   0.001    -1.904584   -.5296818
      yearFE52 |  -1.262879   .3299591    -3.83   0.000    -1.914812   -.6109464
      yearFE53 |  -1.247992    .314914    -3.96   0.000    -1.870199   -.6257853
      yearFE54 |  -.9641636   .2897302    -3.33   0.001    -1.536612    -.391715
      yearFE55 |  -.9743818   .2681304    -3.63   0.000    -1.504154     -.44461
      yearFE56 |  -.8244171   .2532802    -3.25   0.001    -1.324848   -.3239863
      yearFE57 |  -.5457068   .2440472    -2.24   0.027    -1.027895   -.0635186
      yearFE58 |  -.4535173   .2465314    -1.84   0.068    -.9406138    .0335793
      yearFE59 |  -.4396688   .2327516    -1.89   0.061    -.8995391    .0202016
      yearFE60 |  -.3061633   .2119529    -1.44   0.151    -.7249396    .1126131
      yearFE61 |  -.1841092   .1885146    -0.98   0.330    -.5565761    .1883577
      yearFE62 |  -.2419497   .1714375    -1.41   0.160    -.5806757    .0967763
      yearFE63 |  -.0279638   .1530729    -0.18   0.855     -.330405    .2744774
      yearFE64 |   .0650555   .1362767     0.48   0.634    -.2041999    .3343109
      yearFE65 |   .0667402   .1242401     0.54   0.592    -.1787332    .3122137
      yearFE66 |   .0942429   .1072347     0.88   0.381    -.1176313    .3061171
      yearFE67 |   .0784978   .0847406     0.93   0.356    -.0889326    .2459283
      yearFE68 |   .1741558   .0784541     2.22   0.028     .0191462    .3291653
      yearFE69 |   .0330657   .0480232     0.69   0.492    -.0618185    .1279498
      yearFE70 |          0  (omitted)
         _cons |  -8.765497     11.761    -0.75   0.457    -32.00286    14.47187
---------------+----------------------------------------------------------------
       sigma_u |  2.3026928
       sigma_e |  1.3467459
           rho |  .74512446   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

added macro:
          e(Dependent) : "US aid"

added macro:
              e(Votes) : "Admissions"
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,825
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1241                                         min =          6
     between = 0.2881                                         avg =       38.3
     overall = 0.1413                                         max =         54

                                                F(58,151)         =       9.81
corr(u_i, Xb)  = -0.2166                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
IMFcommitmen~y |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
           all |    .409614   .1689333     2.42   0.017     .0758357    .7433923
        notall |  -.2182172   .1701219    -1.28   0.202    -.5543439    .1179094
l_lngdppcconst |  -.3394104   .1276051    -2.66   0.009    -.5915325   -.0872884
         lnpop |  -.0070128   .3943965    -0.02   0.986     -.786261    .7722353
       pastIMF |   1.527245   .1582948     9.65   0.000     1.214486    1.840004
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |    .033918   .5384012     0.06   0.950    -1.029854    1.097691
      yearFE17 |  -.3287564   .5182875    -0.63   0.527    -1.352788    .6952755
      yearFE18 |  -.3562233   .5304342    -0.67   0.503    -1.404255    .6918079
      yearFE19 |  -.3455851   .5198241    -0.66   0.507    -1.372653    .6814828
      yearFE20 |  -.2437162   .5278853    -0.46   0.645    -1.286711     .799279
      yearFE21 |  -.1890661   .4989901    -0.38   0.705     -1.17497    .7968381
      yearFE22 |  -.2124507   .4672815    -0.45   0.650    -1.135705    .7108037
      yearFE23 |  -.0789028   .4590463    -0.17   0.864     -.985886    .8280804
      yearFE24 |   -.313191   .4646318    -0.67   0.501     -1.23121     .604828
      yearFE25 |  -.3543674   .4513229    -0.79   0.434    -1.246091     .537356
      yearFE26 |  -.5586178   .4328393    -1.29   0.199    -1.413821    .2965856
      yearFE27 |  -.3487798   .4242367    -0.82   0.412    -1.186986    .4894267
      yearFE28 |  -.4676507   .4204394    -1.11   0.268    -1.298355    .3630531
      yearFE29 |  -.5151776   .4292622    -1.20   0.232    -1.363313    .3329582
      yearFE30 |  -.5619861   .4098622    -1.37   0.172    -1.371791    .2478192
      yearFE31 |  -.4028709   .4015204    -1.00   0.317    -1.196194    .3904527
      yearFE32 |   -.110052   .3657268    -0.30   0.764    -.8326547    .6125507
      yearFE33 |  -.2266978   .3790825    -0.60   0.551    -.9756886    .5222929
      yearFE34 |   .0616042   .3776385     0.16   0.871    -.6845336     .807742
      yearFE35 |    .461443   .3829062     1.21   0.230    -.2951027    1.217989
      yearFE36 |   .5809997    .377825     1.54   0.126    -.1655064    1.327506
      yearFE37 |   .2115549   .3555064     0.60   0.553    -.4908543     .913964
      yearFE38 |   .8535671   .3384852     2.52   0.013     .1847883    1.522346
      yearFE39 |   .3647155   .3161635     1.15   0.251      -.25996     .989391
      yearFE40 |   .3244193   .3310037     0.98   0.329    -.3295775    .9784161
      yearFE41 |   .2266338   .3008387     0.75   0.452     -.367763    .8210306
      yearFE42 |   .3244759   .2806823     1.16   0.249    -.2300959    .8790476
      yearFE43 |   .3708871   .3079178     1.20   0.230    -.2374965    .9792707
      yearFE44 |   .6987344   .3055106     2.29   0.024      .095107    1.302362
      yearFE45 |    .370802    .271752     1.36   0.174    -.1661252    .9077293
      yearFE46 |    .498385    .265124     1.88   0.062    -.0254466    1.022217
      yearFE47 |   .4309659    .259993     1.66   0.099    -.0827279    .9446597
      yearFE48 |   .1300632   .2800528     0.46   0.643    -.4232648    .6833913
      yearFE49 |   .4318791   .2758515     1.57   0.120    -.1131479    .9769062
      yearFE50 |   .5537986   .2544767     2.18   0.031     .0510039    1.056593
      yearFE51 |    .559029   .2468909     2.26   0.025     .0712222    1.046836
      yearFE52 |   .5178334    .267902     1.93   0.055     -.011487    1.047154
      yearFE53 |   .5354767   .2636936     2.03   0.044     .0144711    1.056482
      yearFE54 |    .551775   .2527142     2.18   0.031     .0524626    1.051087
      yearFE55 |   .4752401   .2528672     1.88   0.062    -.0243745    .9748548
      yearFE56 |   .4651692    .260245     1.79   0.076    -.0490227     .979361
      yearFE57 |   .2574328   .2575883     1.00   0.319    -.2515099    .7663755
      yearFE58 |   .4217527   .2498575     1.69   0.093    -.0719155    .9154208
      yearFE59 |   .2538765   .2418647     1.05   0.296    -.2239995    .7317525
      yearFE60 |   .0104767   .2429741     0.04   0.966    -.4695912    .4905446
      yearFE61 |   -.135849   .2311757    -0.59   0.558    -.5926057    .3209076
      yearFE62 |  -.2880556   .2327272    -1.24   0.218    -.7478779    .1717666
      yearFE63 |  -.0683925   .2070512    -0.33   0.742    -.4774839    .3406989
      yearFE64 |     .40394   .2449624     1.65   0.101    -.0800565    .8879365
      yearFE65 |   .2677235   .1957639     1.37   0.173    -.1190666    .6545135
      yearFE66 |   .1838872   .2086741     0.88   0.380    -.2284108    .5961851
      yearFE67 |  -.0244021   .1915973    -0.13   0.899    -.4029597    .3541556
      yearFE68 |  -.1773392   .1332087    -1.33   0.185    -.4405327    .0858544
      yearFE69 |          0  (omitted)
      yearFE70 |          0  (omitted)
         _cons |   2.527112   6.586191     0.38   0.702    -10.48588     15.5401
---------------+----------------------------------------------------------------
       sigma_u |    .804219
       sigma_e |   1.678554
           rho |  .18669457   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

added macro:
          e(Dependent) : "IMF loans"

added macro:
              e(Votes) : "Admissions"
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,648
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.0942                                         min =          6
     between = 0.3572                                         avg =       37.2
     overall = 0.1163                                         max =         48

                                                F(51,151)         =       7.19
corr(u_i, Xb)  = -0.7974                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
      lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
           all |   .4142848   .1496425     2.77   0.006     .1186213    .7099483
        notall |   .1449164     .11916     1.22   0.226    -.0905199    .3803526
l_lngdppcconst |  -.4923313   .2336926    -2.11   0.037    -.9540608   -.0306018
         lnpop |  -.5633839   .5722105    -0.98   0.326    -1.693957     .567189
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |          0  (omitted)
      yearFE17 |          0  (omitted)
      yearFE18 |          0  (omitted)
      yearFE19 |          0  (omitted)
      yearFE20 |          0  (omitted)
      yearFE21 |          0  (omitted)
      yearFE22 |          0  (omitted)
      yearFE23 |  -3.610727   .7213726    -5.01   0.000    -5.036014    -2.18544
      yearFE24 |  -3.281621    .712289    -4.61   0.000    -4.688961   -1.874281
      yearFE25 |  -2.958192   .7005419    -4.22   0.000    -4.342322   -1.574062
      yearFE26 |   -2.95814   .6807099    -4.35   0.000    -4.303086   -1.613194
      yearFE27 |  -2.736166   .6715788    -4.07   0.000     -4.06307   -1.409261
      yearFE28 |  -2.257342   .6520425    -3.46   0.001    -3.545647   -.9690375
      yearFE29 |  -2.176832   .6292628    -3.46   0.001    -3.420129   -.9335352
      yearFE30 |  -1.967904   .6067599    -3.24   0.001     -3.16674   -.7690686
      yearFE31 |   -1.76688   .5834337    -3.03   0.003    -2.919627   -.6141321
      yearFE32 |  -1.842545   .5550254    -3.32   0.001    -2.939164   -.7459265
      yearFE33 |  -1.624192   .5600298    -2.90   0.004    -2.730698    -.517686
      yearFE34 |  -1.511866   .5251224    -2.88   0.005    -2.549402   -.4743297
      yearFE35 |  -1.324372   .5124436    -2.58   0.011    -2.336857    -.311886
      yearFE36 |  -1.450083   .5016543    -2.89   0.004    -2.441251   -.4589145
      yearFE37 |  -1.652747   .5068892    -3.26   0.001    -2.654259   -.6512363
      yearFE38 |  -1.404035   .4832654    -2.91   0.004     -2.35887   -.4491993
      yearFE39 |  -1.643902   .4875017    -3.37   0.001    -2.607107   -.6806968
      yearFE40 |  -1.411688    .463396    -3.05   0.003    -2.327265   -.4961104
      yearFE41 |   -1.60055   .4533948    -3.53   0.001    -2.496367   -.7047326
      yearFE42 |  -1.578864   .4483483    -3.52   0.001     -2.46471   -.6930181
      yearFE43 |  -1.481739   .4443997    -3.33   0.001    -2.359783   -.6036945
      yearFE44 |  -1.484629   .4374496    -3.39   0.001    -2.348941   -.6203165
      yearFE45 |  -1.442498   .4431534    -3.26   0.001     -2.31808   -.5669157
      yearFE46 |  -1.244174   .4198102    -2.96   0.004    -2.073634    -.414713
      yearFE47 |  -1.290989   .4013337    -3.22   0.002    -2.083943   -.4980337
      yearFE48 |  -1.057378   .3776337    -2.80   0.006    -1.803507   -.3112502
      yearFE49 |  -1.128975   .3480861    -3.24   0.001    -1.816723   -.4412268
      yearFE50 |  -1.186104   .3499616    -3.39   0.001    -1.877557   -.4946498
      yearFE51 |  -1.186113    .329918    -3.60   0.000    -1.837965   -.5342614
      yearFE52 |  -1.176672   .3217246    -3.66   0.000    -1.812335   -.5410089
      yearFE53 |   -.965683   .3170401    -3.05   0.003    -1.592091   -.3392755
      yearFE54 |  -1.296614   .3022883    -4.29   0.000    -1.893875   -.6993533
      yearFE55 |  -1.263386   .3048235    -4.14   0.000    -1.865656   -.6611163
      yearFE56 |  -1.008214   .2839153    -3.55   0.001    -1.569173   -.4472543
      yearFE57 |  -1.167047   .3013844    -3.87   0.000    -1.762521   -.5715715
      yearFE58 |  -1.149031   .2731538    -4.21   0.000    -1.688728   -.6093335
      yearFE59 |  -.9673198   .2501242    -3.87   0.000    -1.461515   -.4731246
      yearFE60 |  -1.009592   .2505936    -4.03   0.000    -1.504714   -.5144691
      yearFE61 |  -.9654162   .2296344    -4.20   0.000    -1.419128   -.5117048
      yearFE62 |  -.7329043   .2190271    -3.35   0.001    -1.165658   -.3001507
      yearFE63 |  -.4668241   .2072627    -2.25   0.026    -.8763336   -.0573146
      yearFE64 |  -.3141315   .2235842    -1.40   0.162    -.7558889    .1276259
      yearFE65 |  -.1866535   .2440931    -0.76   0.446    -.6689324    .2956253
      yearFE66 |  -.2963473   .1976973    -1.50   0.136    -.6869575    .0942629
      yearFE67 |  -.5089638   .2028908    -2.51   0.013    -.9098352   -.1080923
      yearFE68 |  -.4269532    .190174    -2.25   0.026    -.8026988   -.0512076
      yearFE69 |   .2358936   .2106268     1.12   0.265    -.1802627    .6520498
      yearFE70 |          0  (omitted)
         _cons |   16.30155   10.08193     1.62   0.108    -3.618312    36.22141
---------------+----------------------------------------------------------------
       sigma_u |  2.6457621
       sigma_e |  1.6235612
           rho |  .72644782   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

added macro:
          e(Dependent) : "WB loans"

added macro:
              e(Votes) : "Admissions"
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      6,141
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1370                                         min =          6
     between = 0.4140                                         avg =       40.4
     overall = 0.2721                                         max =         55

                                                F(58,151)         =       5.89
corr(u_i, Xb)  = -0.8506                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
lnODAnetdis_~A |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
           all |   .2712525   .1087894     2.49   0.014     .0563066    .4861984
        notall |   .0087393   .1648937     0.05   0.958    -.3170575    .3345362
l_lngdppcconst |  -.9533558   .2805888    -3.40   0.001    -1.507743   -.3989688
         lnpop |   1.234551   .6732715     1.83   0.069    -.0956978      2.5648
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |  -.2165035   .9890596    -0.22   0.827    -2.170686    1.737679
      yearFE17 |   .2645634   .9582906     0.28   0.783    -1.628826    2.157953
      yearFE18 |   .2340466   .9420547     0.25   0.804    -1.627264    2.095357
      yearFE19 |   .0867663   .9161417     0.09   0.925    -1.723346    1.896878
      yearFE20 |    .324838    .893658     0.36   0.717    -1.440851    2.090527
      yearFE21 |   .3971483   .9044235     0.44   0.661    -1.389811    2.184107
      yearFE22 |   .2390999   .8756566     0.27   0.785    -1.491022    1.969221
      yearFE23 |   .0822967   .8631739     0.10   0.924    -1.623161    1.787755
      yearFE24 |  -.1109127   .8304458    -0.13   0.894    -1.751706    1.529881
      yearFE25 |  -.3315921   .8089019    -0.41   0.682     -1.92982    1.266635
      yearFE26 |  -.3216052   .7718311    -0.42   0.678    -1.846588    1.203378
      yearFE27 |  -.3277286   .7526174    -0.44   0.664    -1.814749    1.159292
      yearFE28 |  -.5481576   .7288197    -0.75   0.453    -1.988159    .8918436
      yearFE29 |  -.5547909   .6998391    -0.79   0.429    -1.937532    .8279505
      yearFE30 |  -.4507449   .6901844    -0.65   0.515    -1.814411    .9129207
      yearFE31 |   -.528016   .6665845    -0.79   0.430    -1.845053    .7890209
      yearFE32 |  -.5624472   .6472663    -0.87   0.386    -1.841315    .7164209
      yearFE33 |  -.6441279    .618789    -1.04   0.300     -1.86673    .5784748
      yearFE34 |  -.5539267   .6014863    -0.92   0.359    -1.742343    .6344892
      yearFE35 |  -.5248969   .5919471    -0.89   0.377    -1.694465    .6446716
      yearFE36 |   -.577791   .5821355    -0.99   0.323    -1.727974    .5723916
      yearFE37 |  -.6309305   .5665338    -1.11   0.267    -1.750287    .4884263
      yearFE38 |  -.5382384   .5510886    -0.98   0.330    -1.627079    .5506019
      yearFE39 |  -.4958534   .5428436    -0.91   0.362    -1.568403    .5766963
      yearFE40 |  -.4363278   .5337087    -0.82   0.415    -1.490829    .6181733
      yearFE41 |  -.5203487   .5144766    -1.01   0.313    -1.536851    .4961536
      yearFE42 |  -.6686223    .494365    -1.35   0.178    -1.645388    .3081435
      yearFE43 |  -.7634602   .4783166    -1.60   0.113    -1.708518    .1815972
      yearFE44 |  -.8817752   .4579136    -1.93   0.056     -1.78652      .02297
      yearFE45 |  -.8404198    .453501    -1.85   0.066    -1.736447    .0556071
      yearFE46 |  -.8246157    .435005    -1.90   0.060    -1.684098    .0348667
      yearFE47 |  -.9642713   .4074833    -2.37   0.019    -1.769376   -.1591662
      yearFE48 |  -.8276317   .3745548    -2.21   0.029    -1.567677   -.0875867
      yearFE49 |  -.8467994   .3860203    -2.19   0.030    -1.609498   -.0841009
      yearFE50 |  -1.028835   .3694817    -2.78   0.006    -1.758856   -.2988132
      yearFE51 |  -1.220248    .348036    -3.51   0.001    -1.907897   -.5325986
      yearFE52 |  -1.266065   .3300472    -3.84   0.000    -1.918172   -.6139579
      yearFE53 |  -1.247546   .3149354    -3.96   0.000    -1.869795   -.6252975
      yearFE54 |   -.963762   .2897605    -3.33   0.001     -1.53627   -.3912536
      yearFE55 |  -.9740958   .2679888    -3.63   0.000    -1.503588   -.4446038
      yearFE56 |  -.8403367   .2538315    -3.31   0.001    -1.341857   -.3388167
      yearFE57 |  -.5484852   .2440106    -2.25   0.026    -1.030601   -.0663693
      yearFE58 |  -.4669858   .2467141    -1.89   0.060    -.9544433    .0204718
      yearFE59 |  -.4555787   .2331114    -1.95   0.053      -.91616    .0050026
      yearFE60 |  -.3057647   .2118996    -1.44   0.151    -.7244356    .1129063
      yearFE61 |  -.1970106   .1882996    -1.05   0.297    -.5690526    .1750315
      yearFE62 |  -.2424453   .1713586    -1.41   0.159    -.5810155    .0961249
      yearFE63 |  -.0285263   .1527359    -0.19   0.852    -.3303017    .2732492
      yearFE64 |   .0650304   .1359076     0.48   0.633    -.2034957    .3335566
      yearFE65 |   .0666907   .1239124     0.54   0.591    -.1781353    .3115166
      yearFE66 |   .0749646   .1066772     0.70   0.483    -.1358081    .2857373
      yearFE67 |   .0796531   .0845411     0.94   0.348    -.0873832    .2466893
      yearFE68 |     .17483   .0784828     2.23   0.027     .0197639    .3298961
      yearFE69 |   .0330929   .0480162     0.69   0.492    -.0617775    .1279633
      yearFE70 |          0  (omitted)
         _cons |  -8.795729   11.76658    -0.75   0.456    -32.04412    14.45266
---------------+----------------------------------------------------------------
       sigma_u |  2.3052966
       sigma_e |  1.3469949
           rho |  .74548333   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

added macro:
          e(Dependent) : "US aid"

added macro:
              e(Votes) : "Israel"
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,825
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1235                                         min =          6
     between = 0.2908                                         avg =       38.3
     overall = 0.1415                                         max =         54

                                                F(58,151)         =       9.94
corr(u_i, Xb)  = -0.2165                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
IMFcommitmen~y |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
           all |   .2743642   .1708859     1.61   0.110    -.0632719    .6120002
        notall |  -.2347737   .1796912    -1.31   0.193    -.5898075      .12026
l_lngdppcconst |  -.3371154   .1272326    -2.65   0.009    -.5885015   -.0857294
         lnpop |  -.0052248    .394104    -0.01   0.989    -.7838951    .7734455
       pastIMF |   1.531971   .1580961     9.69   0.000     1.219605    1.844337
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |   .0454327   .5397637     0.08   0.933    -1.021032    1.111897
      yearFE17 |  -.3185243   .5184401    -0.61   0.540    -1.342858     .705809
      yearFE18 |  -.3463431    .529792    -0.65   0.514    -1.393105    .7004193
      yearFE19 |  -.3382916   .5198579    -0.65   0.516    -1.365426    .6888432
      yearFE20 |   -.234747   .5275963    -0.44   0.657    -1.277171    .8076773
      yearFE21 |  -.1827882   .4980139    -0.37   0.714    -1.166763    .8011871
      yearFE22 |  -.2047622   .4662236    -0.44   0.661    -1.125926    .7164018
      yearFE23 |  -.0674745   .4589614    -0.15   0.883    -.9742899    .8393408
      yearFE24 |  -.3002194   .4639931    -0.65   0.519    -1.216976    .6165377
      yearFE25 |   -.350151   .4499699    -0.78   0.438    -1.239201    .5388991
      yearFE26 |  -.5519543   .4312942    -1.28   0.203    -1.404105    .3001962
      yearFE27 |  -.3469013   .4232311    -0.82   0.414    -1.183121    .4893183
      yearFE28 |  -.4670567   .4188856    -1.11   0.267     -1.29469     .360577
      yearFE29 |  -.5130673   .4274014    -1.20   0.232    -1.357527     .331392
      yearFE30 |  -.5620543   .4084908    -1.38   0.171     -1.36915    .2450414
      yearFE31 |  -.4034474   .4004983    -1.01   0.315    -1.194752    .3878566
      yearFE32 |  -.1104748   .3635796    -0.30   0.762     -.828835    .6078855
      yearFE33 |  -.2190409   .3797494    -0.58   0.565    -.9693494    .5312675
      yearFE34 |    .070094   .3780357     0.19   0.853    -.6768285    .8170165
      yearFE35 |   .4229366   .3878562     1.09   0.277    -.3433893    1.189262
      yearFE36 |   .5789483   .3764881     1.54   0.126    -.1649166    1.322813
      yearFE37 |   .2092939   .3543576     0.59   0.556    -.4908455    .9094333
      yearFE38 |   .8526993   .3370679     2.53   0.012     .1867208    1.518678
      yearFE39 |   .3626506    .313987     1.15   0.250    -.2577245    .9830257
      yearFE40 |   .3220834   .3302356     0.98   0.331    -.3303957    .9745625
      yearFE41 |   .2246248   .2986719     0.75   0.453    -.3654908    .8147405
      yearFE42 |    .322156   .2783852     1.16   0.249    -.2278772    .8721892
      yearFE43 |   .3684233   .3069739     1.20   0.232    -.2380954    .9749419
      yearFE44 |   .6963583   .3037583     2.29   0.023     .0961929    1.296524
      yearFE45 |   .3679185   .2702482     1.36   0.175    -.1660376    .9018746
      yearFE46 |   .4995975   .2648177     1.89   0.061    -.0236291    1.022824
      yearFE47 |   .4334933   .2606607     1.66   0.098    -.0815198    .9485065
      yearFE48 |   .1326058   .2803187     0.47   0.637    -.4212475    .6864591
      yearFE49 |   .4326425   .2752053     1.57   0.118    -.1111078    .9763928
      yearFE50 |   .5203425   .2558353     2.03   0.044     .0148635    1.025822
      yearFE51 |   .5545483   .2448321     2.27   0.025     .0708093    1.038287
      yearFE52 |   .5131063   .2665276     1.93   0.056    -.0134986    1.039711
      yearFE53 |   .5363444   .2640406     2.03   0.044     .0146534    1.058035
      yearFE54 |   .5526836   .2528732     2.19   0.030     .0530569     1.05231
      yearFE55 |   .4759893   .2518643     1.89   0.061    -.0216439    .9736224
      yearFE56 |   .4355515   .2652345     1.64   0.103    -.0884985    .9596016
      yearFE57 |    .253138   .2571718     0.98   0.327    -.2549817    .7612577
      yearFE58 |   .3968367   .2525812     1.57   0.118    -.1022129    .8958864
      yearFE59 |   .2243637   .2440465     0.92   0.359     -.257823    .7065505
      yearFE60 |   .0112287   .2432888     0.05   0.963    -.4694609    .4919184
      yearFE61 |  -.1596808   .2334389    -0.68   0.495    -.6209091    .3015474
      yearFE62 |  -.2887514   .2330202    -1.24   0.217    -.7491523    .1716496
      yearFE63 |  -.0690095   .2068501    -0.33   0.739    -.4777037    .3396847
      yearFE64 |   .4040921   .2448728     1.65   0.101    -.0797273    .8879115
      yearFE65 |   .2678171   .1958886     1.37   0.174    -.1192195    .6548536
      yearFE66 |   .1479684   .2113279     0.70   0.485    -.2695731    .5655099
      yearFE67 |  -.0224381   .1914077    -0.12   0.907    -.4006213     .355745
      yearFE68 |  -.1762011   .1333931    -1.32   0.189     -.439759    .0873568
      yearFE69 |          0  (omitted)
      yearFE70 |          0  (omitted)
         _cons |   2.482801   6.577367     0.38   0.706    -10.51275    15.47836
---------------+----------------------------------------------------------------
       sigma_u |  .80287263
       sigma_e |  1.6791672
           rho |  .18607563   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

added macro:
          e(Dependent) : "IMF loans"

added macro:
              e(Votes) : "Israel"
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,648
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.0939                                         min =          6
     between = 0.3551                                         avg =       37.2
     overall = 0.1151                                         max =         48

                                                F(51,151)         =       7.13
corr(u_i, Xb)  = -0.7952                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
      lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
           all |   .2951149   .1378067     2.14   0.034     .0228366    .5673932
        notall |   .2131821   .1372368     1.55   0.122    -.0579702    .4843345
l_lngdppcconst |  -.4912074    .233653    -2.10   0.037    -.9528588    -.029556
         lnpop |  -.5581604   .5724423    -0.98   0.331    -1.689191    .5728705
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |          0  (omitted)
      yearFE17 |          0  (omitted)
      yearFE18 |          0  (omitted)
      yearFE19 |          0  (omitted)
      yearFE20 |          0  (omitted)
      yearFE21 |          0  (omitted)
      yearFE22 |          0  (omitted)
      yearFE23 |  -3.601358   .7218468    -4.99   0.000    -5.027582   -2.175134
      yearFE24 |  -3.270956   .7131208    -4.59   0.000    -4.679939   -1.861972
      yearFE25 |  -2.958829   .7006416    -4.22   0.000    -4.343155   -1.574502
      yearFE26 |  -2.952705   .6809458    -4.34   0.000    -4.298117   -1.607293
      yearFE27 |  -2.737655   .6719023    -4.07   0.000    -4.065199   -1.410111
      yearFE28 |  -2.262888   .6519224    -3.47   0.001    -3.550955   -.9748199
      yearFE29 |  -2.181086   .6290142    -3.47   0.001    -3.423892   -.9382805
      yearFE30 |  -1.972939   .6062579    -3.25   0.001    -3.170782   -.7750949
      yearFE31 |   -1.77117   .5832334    -3.04   0.003    -2.923522   -.6188176
      yearFE32 |   -1.84849   .5544898    -3.33   0.001     -2.94405   -.7529298
      yearFE33 |  -1.617864   .5607668    -2.89   0.004    -2.725827   -.5099021
      yearFE34 |  -1.504389   .5260483    -2.86   0.005    -2.543754   -.4650232
      yearFE35 |   -1.33612   .5133029    -2.60   0.010    -2.350303   -.3219362
      yearFE36 |  -1.455427   .5014244    -2.90   0.004    -2.446141   -.4647132
      yearFE37 |  -1.658071   .5064149    -3.27   0.001    -2.658645   -.6574969
      yearFE38 |  -1.409644   .4825231    -2.92   0.004    -2.363013   -.4562754
      yearFE39 |  -1.651374   .4867134    -3.39   0.001    -2.613022   -.6897263
      yearFE40 |  -1.418566   .4628395    -3.06   0.003    -2.333044   -.5040881
      yearFE41 |  -1.607335   .4530475    -3.55   0.001    -2.502466   -.7122041
      yearFE42 |  -1.584989   .4481712    -3.54   0.001    -2.470485   -.6994927
      yearFE43 |  -1.487891   .4436549    -3.35   0.001    -2.364464   -.6113184
      yearFE44 |  -1.491391   .4368224    -3.41   0.001    -2.354464    -.628318
      yearFE45 |  -1.448854   .4425153    -3.27   0.001    -2.323176   -.5745333
      yearFE46 |  -1.244404   .4197408    -2.96   0.004    -2.073728   -.4150806
      yearFE47 |  -1.288188   .4019599    -3.20   0.002     -2.08238   -.4939964
      yearFE48 |  -1.054695   .3781657    -2.79   0.006    -1.801875    -.307516
      yearFE49 |  -1.129668   .3478657    -3.25   0.001    -1.816981   -.4423554
      yearFE50 |  -1.198512   .3499117    -3.43   0.001    -1.889867   -.5071571
      yearFE51 |  -1.194084   .3290304    -3.63   0.000    -1.844182   -.5439862
      yearFE52 |  -1.184255   .3209885    -3.69   0.000    -1.818464   -.5500468
      yearFE53 |  -.9642778   .3172279    -3.04   0.003    -1.591056   -.3374992
      yearFE54 |  -1.295789   .3024433    -4.28   0.000    -1.893357   -.6982223
      yearFE55 |  -1.262644   .3048725    -4.14   0.000     -1.86501    -.660277
      yearFE56 |  -1.019966   .2837139    -3.60   0.000    -1.580528   -.4594044
      yearFE57 |  -1.172977   .3000826    -3.91   0.000     -1.76588   -.5800741
      yearFE58 |  -1.158816   .2733116    -4.24   0.000    -1.698825   -.6188073
      yearFE59 |  -.9785607    .249996    -3.91   0.000    -1.472502   -.4846189
      yearFE60 |   -1.00835   .2508795    -4.02   0.000    -1.504037   -.5126622
      yearFE61 |  -.9756075   .2298815    -4.24   0.000    -1.429807    -.521408
      yearFE62 |  -.7337166   .2190579    -3.35   0.001    -1.166531   -.3009022
      yearFE63 |  -.4687766   .2073194    -2.26   0.025    -.8783981    -.059155
      yearFE64 |  -.3147899   .2240488    -1.41   0.162    -.7574652    .1278855
      yearFE65 |  -.1873974    .244467    -0.77   0.445    -.6704151    .2956203
      yearFE66 |   -.310561   .1977138    -1.57   0.118    -.7012036    .0800816
      yearFE67 |    -.50687   .2037856    -2.49   0.014    -.9095093   -.1042306
      yearFE68 |  -.4257811   .1905894    -2.23   0.027    -.8023475   -.0492148
      yearFE69 |   .2360212   .2108168     1.12   0.265    -.1805105    .6525528
      yearFE70 |          0  (omitted)
         _cons |   16.21606   10.08766     1.61   0.110    -3.715117    36.14724
---------------+----------------------------------------------------------------
       sigma_u |  2.6363981
       sigma_e |   1.623834
           rho |  .72496942   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

added macro:
          e(Dependent) : "WB loans"

added macro:
              e(Votes) : "Israel"
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      6,141
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1374                                         min =          6
     between = 0.4140                                         avg =       40.4
     overall = 0.2722                                         max =         55

                                                F(58,151)         =       6.02
corr(u_i, Xb)  = -0.8502                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
lnODAnetdis_~A |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
           all |   .3476046   .1153802     3.01   0.003     .1196365    .5755727
        notall |   .0091089   .1392599     0.07   0.948    -.2660407    .2842585
l_lngdppcconst |  -.9543925   .2807349    -3.40   0.001    -1.509068   -.3997167
         lnpop |   1.232928   .6728458     1.83   0.069    -.0964797    2.562336
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |  -.2202933    .988105    -0.22   0.824     -2.17259    1.732003
      yearFE17 |   .2608933   .9575941     0.27   0.786     -1.63112    2.152907
      yearFE18 |   .2304373   .9416616     0.24   0.807    -1.630097    2.090971
      yearFE19 |   .0843231   .9157246     0.09   0.927    -1.724964    1.893611
      yearFE20 |   .3213595   .8933263     0.36   0.720    -1.443674    2.086393
      yearFE21 |   .3948444   .9037671     0.44   0.663    -1.390818    2.180506
      yearFE22 |   .2360142   .8750957     0.27   0.788    -1.492999    1.965027
      yearFE23 |   .0772959   .8628884     0.09   0.929    -1.627598     1.78219
      yearFE24 |  -.1167418   .8302411    -0.14   0.888    -1.757131    1.523648
      yearFE25 |  -.3324736    .808507    -0.41   0.681    -1.929921    1.264974
      yearFE26 |   -.324054   .7715181    -0.42   0.675    -1.848419    1.200311
      yearFE27 |  -.3273679   .7523168    -0.44   0.664    -1.813795    1.159059
      yearFE28 |   -.546824   .7283386    -0.75   0.454    -1.985875    .8922267
      yearFE29 |  -.5543188   .6994263    -0.79   0.429    -1.936245     .827607
      yearFE30 |  -.4492714   .6899162    -0.65   0.516    -1.812407    .9138643
      yearFE31 |  -.5264223   .6663709    -0.79   0.431    -1.843037    .7901927
      yearFE32 |  -.5608315   .6471387    -0.87   0.388    -1.839448    .7177845
      yearFE33 |  -.6473534   .6185774    -1.05   0.297    -1.869538    .5748311
      yearFE34 |  -.5579194   .6010102    -0.93   0.355    -1.745395    .6295558
      yearFE35 |  -.5041085   .5927467    -0.85   0.396    -1.675257    .6670397
      yearFE36 |   -.575705   .5819788    -0.99   0.324    -1.725578    .5741681
      yearFE37 |  -.6287663   .5663245    -1.11   0.269     -1.74771    .4901769
      yearFE38 |   -.536707    .550849    -0.97   0.331    -1.625074      .55166
      yearFE39 |  -.4935833   .5426533    -0.91   0.364    -1.565757    .5785905
      yearFE40 |  -.4339837   .5335699    -0.81   0.417    -1.488211    .6202432
      yearFE41 |  -.5181133   .5142964    -1.01   0.315     -1.53426     .498033
      yearFE42 |  -.6663872   .4942265    -1.35   0.180    -1.642879     .310105
      yearFE43 |  -.7612038   .4781758    -1.59   0.114    -1.705983    .1835754
      yearFE44 |  -.8795715    .457821    -1.92   0.057    -1.784134    .0249908
      yearFE45 |  -.8380706   .4533969    -1.85   0.066    -1.733892    .0577505
      yearFE46 |  -.8248994   .4348693    -1.90   0.060    -1.684114    .0343149
      yearFE47 |  -.9655077   .4074166    -2.37   0.019    -1.770481   -.1605345
      yearFE48 |  -.8287958   .3746111    -2.21   0.028    -1.568952   -.0886397
      yearFE49 |  -.8467924   .3857894    -2.19   0.030    -1.609035   -.0845502
      yearFE50 |   -1.01074   .3701596    -2.73   0.007    -1.742101    -.279379
      yearFE51 |  -1.217133   .3479357    -3.50   0.001    -1.904584   -.5296818
      yearFE52 |  -1.262879   .3299591    -3.83   0.000    -1.914812   -.6109464
      yearFE53 |  -1.247992    .314914    -3.96   0.000    -1.870199   -.6257853
      yearFE54 |  -.9641636   .2897302    -3.33   0.001    -1.536612    -.391715
      yearFE55 |  -.9743818   .2681304    -3.63   0.000    -1.504154     -.44461
      yearFE56 |  -.8244171   .2532802    -3.25   0.001    -1.324848   -.3239863
      yearFE57 |  -.5457068   .2440472    -2.24   0.027    -1.027895   -.0635186
      yearFE58 |  -.4535173   .2465314    -1.84   0.068    -.9406138    .0335793
      yearFE59 |  -.4396688   .2327516    -1.89   0.061    -.8995391    .0202016
      yearFE60 |  -.3061633   .2119529    -1.44   0.151    -.7249396    .1126131
      yearFE61 |  -.1841092   .1885146    -0.98   0.330    -.5565761    .1883577
      yearFE62 |  -.2419497   .1714375    -1.41   0.160    -.5806757    .0967763
      yearFE63 |  -.0279638   .1530729    -0.18   0.855     -.330405    .2744774
      yearFE64 |   .0650555   .1362767     0.48   0.634    -.2041999    .3343109
      yearFE65 |   .0667402   .1242401     0.54   0.592    -.1787332    .3122137
      yearFE66 |   .0942429   .1072347     0.88   0.381    -.1176313    .3061171
      yearFE67 |   .0784978   .0847406     0.93   0.356    -.0889326    .2459283
      yearFE68 |   .1741558   .0784541     2.22   0.028     .0191462    .3291653
      yearFE69 |   .0330657   .0480232     0.69   0.492    -.0618185    .1279498
      yearFE70 |          0  (omitted)
         _cons |  -8.765497     11.761    -0.75   0.457    -32.00286    14.47187
---------------+----------------------------------------------------------------
       sigma_u |  2.3026928
       sigma_e |  1.3467459
           rho |  .74512446   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

added macro:
          e(Dependent) : "US aid"

added macro:
              e(Votes) : "Lebanon"
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,825
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1241                                         min =          6
     between = 0.2881                                         avg =       38.3
     overall = 0.1413                                         max =         54

                                                F(58,151)         =       9.81
corr(u_i, Xb)  = -0.2166                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
IMFcommitmen~y |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
           all |    .409614   .1689333     2.42   0.017     .0758357    .7433923
        notall |  -.2182172   .1701219    -1.28   0.202    -.5543439    .1179094
l_lngdppcconst |  -.3394104   .1276051    -2.66   0.009    -.5915325   -.0872884
         lnpop |  -.0070128   .3943965    -0.02   0.986     -.786261    .7722353
       pastIMF |   1.527245   .1582948     9.65   0.000     1.214486    1.840004
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |    .033918   .5384012     0.06   0.950    -1.029854    1.097691
      yearFE17 |  -.3287564   .5182875    -0.63   0.527    -1.352788    .6952755
      yearFE18 |  -.3562233   .5304342    -0.67   0.503    -1.404255    .6918079
      yearFE19 |  -.3455851   .5198241    -0.66   0.507    -1.372653    .6814828
      yearFE20 |  -.2437162   .5278853    -0.46   0.645    -1.286711     .799279
      yearFE21 |  -.1890661   .4989901    -0.38   0.705     -1.17497    .7968381
      yearFE22 |  -.2124507   .4672815    -0.45   0.650    -1.135705    .7108037
      yearFE23 |  -.0789028   .4590463    -0.17   0.864     -.985886    .8280804
      yearFE24 |   -.313191   .4646318    -0.67   0.501     -1.23121     .604828
      yearFE25 |  -.3543674   .4513229    -0.79   0.434    -1.246091     .537356
      yearFE26 |  -.5586178   .4328393    -1.29   0.199    -1.413821    .2965856
      yearFE27 |  -.3487798   .4242367    -0.82   0.412    -1.186986    .4894267
      yearFE28 |  -.4676507   .4204394    -1.11   0.268    -1.298355    .3630531
      yearFE29 |  -.5151776   .4292622    -1.20   0.232    -1.363313    .3329582
      yearFE30 |  -.5619861   .4098622    -1.37   0.172    -1.371791    .2478192
      yearFE31 |  -.4028709   .4015204    -1.00   0.317    -1.196194    .3904527
      yearFE32 |   -.110052   .3657268    -0.30   0.764    -.8326547    .6125507
      yearFE33 |  -.2266978   .3790825    -0.60   0.551    -.9756886    .5222929
      yearFE34 |   .0616042   .3776385     0.16   0.871    -.6845336     .807742
      yearFE35 |    .461443   .3829062     1.21   0.230    -.2951027    1.217989
      yearFE36 |   .5809997    .377825     1.54   0.126    -.1655064    1.327506
      yearFE37 |   .2115549   .3555064     0.60   0.553    -.4908543     .913964
      yearFE38 |   .8535671   .3384852     2.52   0.013     .1847883    1.522346
      yearFE39 |   .3647155   .3161635     1.15   0.251      -.25996     .989391
      yearFE40 |   .3244193   .3310037     0.98   0.329    -.3295775    .9784161
      yearFE41 |   .2266338   .3008387     0.75   0.452     -.367763    .8210306
      yearFE42 |   .3244759   .2806823     1.16   0.249    -.2300959    .8790476
      yearFE43 |   .3708871   .3079178     1.20   0.230    -.2374965    .9792707
      yearFE44 |   .6987344   .3055106     2.29   0.024      .095107    1.302362
      yearFE45 |    .370802    .271752     1.36   0.174    -.1661252    .9077293
      yearFE46 |    .498385    .265124     1.88   0.062    -.0254466    1.022217
      yearFE47 |   .4309659    .259993     1.66   0.099    -.0827279    .9446597
      yearFE48 |   .1300632   .2800528     0.46   0.643    -.4232648    .6833913
      yearFE49 |   .4318791   .2758515     1.57   0.120    -.1131479    .9769062
      yearFE50 |   .5537986   .2544767     2.18   0.031     .0510039    1.056593
      yearFE51 |    .559029   .2468909     2.26   0.025     .0712222    1.046836
      yearFE52 |   .5178334    .267902     1.93   0.055     -.011487    1.047154
      yearFE53 |   .5354767   .2636936     2.03   0.044     .0144711    1.056482
      yearFE54 |    .551775   .2527142     2.18   0.031     .0524626    1.051087
      yearFE55 |   .4752401   .2528672     1.88   0.062    -.0243745    .9748548
      yearFE56 |   .4651692    .260245     1.79   0.076    -.0490227     .979361
      yearFE57 |   .2574328   .2575883     1.00   0.319    -.2515099    .7663755
      yearFE58 |   .4217527   .2498575     1.69   0.093    -.0719155    .9154208
      yearFE59 |   .2538765   .2418647     1.05   0.296    -.2239995    .7317525
      yearFE60 |   .0104767   .2429741     0.04   0.966    -.4695912    .4905446
      yearFE61 |   -.135849   .2311757    -0.59   0.558    -.5926057    .3209076
      yearFE62 |  -.2880556   .2327272    -1.24   0.218    -.7478779    .1717666
      yearFE63 |  -.0683925   .2070512    -0.33   0.742    -.4774839    .3406989
      yearFE64 |     .40394   .2449624     1.65   0.101    -.0800565    .8879365
      yearFE65 |   .2677235   .1957639     1.37   0.173    -.1190666    .6545135
      yearFE66 |   .1838872   .2086741     0.88   0.380    -.2284108    .5961851
      yearFE67 |  -.0244021   .1915973    -0.13   0.899    -.4029597    .3541556
      yearFE68 |  -.1773392   .1332087    -1.33   0.185    -.4405327    .0858544
      yearFE69 |          0  (omitted)
      yearFE70 |          0  (omitted)
         _cons |   2.527112   6.586191     0.38   0.702    -10.48588     15.5401
---------------+----------------------------------------------------------------
       sigma_u |    .804219
       sigma_e |   1.678554
           rho |  .18669457   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

added macro:
          e(Dependent) : "IMF loans"

added macro:
              e(Votes) : "Lebanon"
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,648
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.0942                                         min =          6
     between = 0.3572                                         avg =       37.2
     overall = 0.1163                                         max =         48

                                                F(51,151)         =       7.19
corr(u_i, Xb)  = -0.7974                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
      lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
           all |   .4142848   .1496425     2.77   0.006     .1186213    .7099483
        notall |   .1449164     .11916     1.22   0.226    -.0905199    .3803526
l_lngdppcconst |  -.4923313   .2336926    -2.11   0.037    -.9540608   -.0306018
         lnpop |  -.5633839   .5722105    -0.98   0.326    -1.693957     .567189
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |          0  (omitted)
      yearFE17 |          0  (omitted)
      yearFE18 |          0  (omitted)
      yearFE19 |          0  (omitted)
      yearFE20 |          0  (omitted)
      yearFE21 |          0  (omitted)
      yearFE22 |          0  (omitted)
      yearFE23 |  -3.610727   .7213726    -5.01   0.000    -5.036014    -2.18544
      yearFE24 |  -3.281621    .712289    -4.61   0.000    -4.688961   -1.874281
      yearFE25 |  -2.958192   .7005419    -4.22   0.000    -4.342322   -1.574062
      yearFE26 |   -2.95814   .6807099    -4.35   0.000    -4.303086   -1.613194
      yearFE27 |  -2.736166   .6715788    -4.07   0.000     -4.06307   -1.409261
      yearFE28 |  -2.257342   .6520425    -3.46   0.001    -3.545647   -.9690375
      yearFE29 |  -2.176832   .6292628    -3.46   0.001    -3.420129   -.9335352
      yearFE30 |  -1.967904   .6067599    -3.24   0.001     -3.16674   -.7690686
      yearFE31 |   -1.76688   .5834337    -3.03   0.003    -2.919627   -.6141321
      yearFE32 |  -1.842545   .5550254    -3.32   0.001    -2.939164   -.7459265
      yearFE33 |  -1.624192   .5600298    -2.90   0.004    -2.730698    -.517686
      yearFE34 |  -1.511866   .5251224    -2.88   0.005    -2.549402   -.4743297
      yearFE35 |  -1.324372   .5124436    -2.58   0.011    -2.336857    -.311886
      yearFE36 |  -1.450083   .5016543    -2.89   0.004    -2.441251   -.4589145
      yearFE37 |  -1.652747   .5068892    -3.26   0.001    -2.654259   -.6512363
      yearFE38 |  -1.404035   .4832654    -2.91   0.004     -2.35887   -.4491993
      yearFE39 |  -1.643902   .4875017    -3.37   0.001    -2.607107   -.6806968
      yearFE40 |  -1.411688    .463396    -3.05   0.003    -2.327265   -.4961104
      yearFE41 |   -1.60055   .4533948    -3.53   0.001    -2.496367   -.7047326
      yearFE42 |  -1.578864   .4483483    -3.52   0.001     -2.46471   -.6930181
      yearFE43 |  -1.481739   .4443997    -3.33   0.001    -2.359783   -.6036945
      yearFE44 |  -1.484629   .4374496    -3.39   0.001    -2.348941   -.6203165
      yearFE45 |  -1.442498   .4431534    -3.26   0.001     -2.31808   -.5669157
      yearFE46 |  -1.244174   .4198102    -2.96   0.004    -2.073634    -.414713
      yearFE47 |  -1.290989   .4013337    -3.22   0.002    -2.083943   -.4980337
      yearFE48 |  -1.057378   .3776337    -2.80   0.006    -1.803507   -.3112502
      yearFE49 |  -1.128975   .3480861    -3.24   0.001    -1.816723   -.4412268
      yearFE50 |  -1.186104   .3499616    -3.39   0.001    -1.877557   -.4946498
      yearFE51 |  -1.186113    .329918    -3.60   0.000    -1.837965   -.5342614
      yearFE52 |  -1.176672   .3217246    -3.66   0.000    -1.812335   -.5410089
      yearFE53 |   -.965683   .3170401    -3.05   0.003    -1.592091   -.3392755
      yearFE54 |  -1.296614   .3022883    -4.29   0.000    -1.893875   -.6993533
      yearFE55 |  -1.263386   .3048235    -4.14   0.000    -1.865656   -.6611163
      yearFE56 |  -1.008214   .2839153    -3.55   0.001    -1.569173   -.4472543
      yearFE57 |  -1.167047   .3013844    -3.87   0.000    -1.762521   -.5715715
      yearFE58 |  -1.149031   .2731538    -4.21   0.000    -1.688728   -.6093335
      yearFE59 |  -.9673198   .2501242    -3.87   0.000    -1.461515   -.4731246
      yearFE60 |  -1.009592   .2505936    -4.03   0.000    -1.504714   -.5144691
      yearFE61 |  -.9654162   .2296344    -4.20   0.000    -1.419128   -.5117048
      yearFE62 |  -.7329043   .2190271    -3.35   0.001    -1.165658   -.3001507
      yearFE63 |  -.4668241   .2072627    -2.25   0.026    -.8763336   -.0573146
      yearFE64 |  -.3141315   .2235842    -1.40   0.162    -.7558889    .1276259
      yearFE65 |  -.1866535   .2440931    -0.76   0.446    -.6689324    .2956253
      yearFE66 |  -.2963473   .1976973    -1.50   0.136    -.6869575    .0942629
      yearFE67 |  -.5089638   .2028908    -2.51   0.013    -.9098352   -.1080923
      yearFE68 |  -.4269532    .190174    -2.25   0.026    -.8026988   -.0512076
      yearFE69 |   .2358936   .2106268     1.12   0.265    -.1802627    .6520498
      yearFE70 |          0  (omitted)
         _cons |   16.30155   10.08193     1.62   0.108    -3.618312    36.22141
---------------+----------------------------------------------------------------
       sigma_u |  2.6457621
       sigma_e |  1.6235612
           rho |  .72644782   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

added macro:
          e(Dependent) : "WB loans"

added macro:
              e(Votes) : "Lebanon"
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      6,141
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1370                                         min =          6
     between = 0.4139                                         avg =       40.4
     overall = 0.2721                                         max =         55

                                                F(58,151)         =       5.81
corr(u_i, Xb)  = -0.8510                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
lnODAnetdis_~A |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
           all |   .2877121   .1153585     2.49   0.014     .0597869    .5156373
        notall |   .0585826   .1347998     0.43   0.664    -.2077547    .3249199
l_lngdppcconst |  -.9540373   .2807272    -3.40   0.001    -1.508698   -.3993769
         lnpop |   1.236055   .6729988     1.84   0.068    -.0936553    2.565765
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |  -.2163621   .9885241    -0.22   0.827    -2.169487    1.736763
      yearFE17 |   .2654126   .9578624     0.28   0.782    -1.627131    2.157956
      yearFE18 |   .2348734   .9417365     0.25   0.803    -1.625808    2.095555
      yearFE19 |   .0878078   .9158329     0.10   0.924    -1.721694    1.897309
      yearFE20 |   .3256247   .8934866     0.36   0.716    -1.439725    2.090975
      yearFE21 |   .3980076   .9040755     0.44   0.660    -1.388264    2.184279
      yearFE22 |   .2396647   .8753239     0.27   0.785    -1.489799    1.969129
      yearFE23 |   .0823689     .86278     0.10   0.924    -1.622311    1.787049
      yearFE24 |  -.1110186   .8300063    -0.13   0.894    -1.750944    1.528907
      yearFE25 |  -.3332135    .808661    -0.41   0.681    -1.930965    1.264538
      yearFE26 |  -.3209691   .7715929    -0.42   0.678    -1.845482    1.203543
      yearFE27 |   -.328318   .7523434    -0.44   0.663    -1.814797    1.158161
      yearFE28 |  -.5503666    .728451    -0.76   0.451    -1.989639    .8889062
      yearFE29 |  -.5572202   .6994974    -0.80   0.427    -1.939286     .824846
      yearFE30 |  -.4523865   .6900677    -0.66   0.513    -1.815821    .9110485
      yearFE31 |  -.5289716   .6666026    -0.79   0.429    -1.846044    .7881011
      yearFE32 |  -.5645617   .6474455    -0.87   0.385    -1.843784    .7146604
      yearFE33 |  -.6439056   .6184521    -1.04   0.299    -1.865843    .5780315
      yearFE34 |  -.5538998   .6011464    -0.92   0.358    -1.741644    .6338446
      yearFE35 |  -.5078047   .5928621    -0.86   0.393    -1.679181    .6635715
      yearFE36 |  -.5789288   .5822557    -0.99   0.322    -1.729349    .5714915
      yearFE37 |  -.6319628   .5665069    -1.12   0.266    -1.751267     .487341
      yearFE38 |  -.5403351   .5511275    -0.98   0.328    -1.629252    .5485819
      yearFE39 |  -.4983024   .5428929    -0.92   0.360     -1.57095    .5743449
      yearFE40 |  -.4382555   .5337569    -0.82   0.413    -1.492852    .6163408
      yearFE41 |  -.5223807   .5145509    -1.02   0.312     -1.53903    .4942685
      yearFE42 |  -.6701769   .4944936    -1.36   0.177    -1.647197     .306843
      yearFE43 |  -.7650061    .478428    -1.60   0.112    -1.710284    .1802715
      yearFE44 |  -.8838186   .4582199    -1.93   0.056    -1.789169    .0215318
      yearFE45 |  -.8419825   .4537962    -1.86   0.065    -1.738593    .0546276
      yearFE46 |  -.8252486   .4349896    -1.90   0.060      -1.6847    .0342034
      yearFE47 |  -.9640027   .4073517    -2.37   0.019    -1.768848   -.1591577
      yearFE48 |  -.8273615   .3745149    -2.21   0.029    -1.567328   -.0873954
      yearFE49 |  -.8507699   .3862145    -2.20   0.029    -1.613852   -.0876878
      yearFE50 |  -1.015402   .3704195    -2.74   0.007    -1.747276   -.2835276
      yearFE51 |  -1.221939   .3483598    -3.51   0.001    -1.910227   -.5336496
      yearFE52 |  -1.267379   .3304325    -3.84   0.000    -1.920247   -.6145106
      yearFE53 |  -1.247238   .3147459    -3.96   0.000    -1.869112    -.625363
      yearFE54 |    -.96381   .2896737    -3.33   0.001    -1.536147   -.3914731
      yearFE55 |  -.9740537   .2679496    -3.64   0.000    -1.503468    -.444639
      yearFE56 |   -.829027    .253645    -3.27   0.001    -1.330179   -.3278754
      yearFE57 |  -.5491476   .2441186    -2.25   0.026    -1.031477   -.0668184
      yearFE58 |   -.457328   .2468951    -1.85   0.066    -.9451431    .0304871
      yearFE59 |  -.4439728   .2332165    -1.90   0.059    -.9047617     .016816
      yearFE60 |  -.3054938   .2118016    -1.44   0.151    -.7239712    .1129836
      yearFE61 |  -.1882483   .1888125    -1.00   0.320    -.5613037    .1848072
      yearFE62 |  -.2424366   .1714464    -1.41   0.159    -.5811802    .0963071
      yearFE63 |   -.029246   .1530048    -0.19   0.849    -.3315526    .2730607
      yearFE64 |   .0628355   .1364483     0.46   0.646    -.2067588    .3324299
      yearFE65 |   .0661654   .1240989     0.53   0.595     -.179029    .3113598
      yearFE66 |   .0886815   .1075156     0.82   0.411    -.1237478    .3011108
      yearFE67 |   .0795735   .0844294     0.94   0.347     -.087242    .2463891
      yearFE68 |   .1747454     .07838     2.23   0.027     .0198822    .3296086
      yearFE69 |   .0331266   .0480077     0.69   0.491    -.0617269    .1279801
      yearFE70 |          0  (omitted)
         _cons |  -8.814891   11.76216    -0.75   0.455    -32.05455    14.42476
---------------+----------------------------------------------------------------
       sigma_u |  2.3080194
       sigma_e |  1.3470585
           rho |  .74591313   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

added macro:
          e(Dependent) : "US aid"

added macro:
              e(Votes) : "Cyprus"
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,825
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1242                                         min =          6
     between = 0.2878                                         avg =       38.3
     overall = 0.1413                                         max =         54

                                                F(58,151)         =       9.82
corr(u_i, Xb)  = -0.2173                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
IMFcommitmen~y |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
           all |   .4108431   .1712626     2.40   0.018     .0724626    .7492237
        notall |  -.2294841   .1757454    -1.31   0.194    -.5767217    .1177536
l_lngdppcconst |  -.3399785   .1275459    -2.67   0.009    -.5919836   -.0879734
         lnpop |  -.0074064   .3938504    -0.02   0.985    -.7855756    .7707628
       pastIMF |   1.528773   .1581409     9.67   0.000     1.216318    1.841227
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |   .0341435   .5377982     0.06   0.949    -1.028438    1.096725
      yearFE17 |  -.3287611   .5177657    -0.63   0.526    -1.351762    .6942398
      yearFE18 |  -.3562366   .5299374    -0.67   0.502    -1.403286    .6908132
      yearFE19 |  -.3455453    .519415    -0.67   0.507    -1.371805    .6807142
      yearFE20 |  -.2437752   .5271433    -0.46   0.644    -1.285304    .7977539
      yearFE21 |  -.1892413   .4986365    -0.38   0.705    -1.174447    .7959643
      yearFE22 |  -.2126694   .4669033    -0.46   0.649    -1.135176    .7098375
      yearFE23 |  -.0791421    .458281    -0.17   0.863    -.9846132    .8263291
      yearFE24 |  -.3134504   .4644478    -0.67   0.501    -1.231106    .6042051
      yearFE25 |  -.3538703   .4513512    -0.78   0.434    -1.245649    .5379088
      yearFE26 |  -.5587729   .4325585    -1.29   0.198    -1.413421    .2958757
      yearFE27 |  -.3484181   .4241154    -0.82   0.413    -1.186385    .4895485
      yearFE28 |  -.4668256   .4206949    -1.11   0.269    -1.298034     .364383
      yearFE29 |  -.5143975    .429484    -1.20   0.233    -1.362972    .3341766
      yearFE30 |  -.5613274   .4100475    -1.37   0.173    -1.371499     .248844
      yearFE31 |  -.4023996    .401652    -1.00   0.318    -1.195983    .3911839
      yearFE32 |  -.1093566   .3660887    -0.30   0.766    -.8326743    .6139612
      yearFE33 |  -.2269315   .3791967    -0.60   0.550     -.976148     .522285
      yearFE34 |   .0613203   .3777522     0.16   0.871     -.685042    .8076827
      yearFE35 |   .4620818    .383095     1.21   0.230    -.2948368       1.219
      yearFE36 |   .5813473   .3779066     1.54   0.126    -.1653202    1.328015
      yearFE37 |   .2118763   .3556637     0.60   0.552    -.4908437    .9145964
      yearFE38 |   .8540683   .3384821     2.52   0.013     .1852957    1.522841
      yearFE39 |   .3653254   .3161557     1.16   0.250    -.2593347    .9899855
      yearFE40 |   .3249179   .3311363     0.98   0.328    -.3293408    .9791767
      yearFE41 |   .2271404   .3009953     0.75   0.452    -.3675658    .8218465
      yearFE42 |   .3248121   .2807782     1.16   0.249    -.2299491    .8795734
      yearFE43 |   .3712084   .3082292     1.20   0.230    -.2377905    .9802074
      yearFE44 |   .6990947   .3058629     2.29   0.024     .0947711    1.303418
      yearFE45 |    .371027   .2720369     1.36   0.175    -.1664632    .9085172
      yearFE46 |   .4984784   .2651031     1.88   0.062     -.025312    1.022269
      yearFE47 |   .4307663   .2599765     1.66   0.100    -.0828949    .9444276
      yearFE48 |   .1298248   .2799314     0.46   0.643    -.4232633    .6829129
      yearFE49 |   .4224659   .2756312     1.53   0.127    -.1221259    .9670576
      yearFE50 |   .5541845   .2544901     2.18   0.031     .0513633    1.057006
      yearFE51 |   .5593829   .2471669     2.26   0.025     .0710308    1.047735
      yearFE52 |    .518131   .2681514     1.93   0.055    -.0116822    1.047944
      yearFE53 |   .5351718   .2636595     2.03   0.044     .0142337     1.05611
      yearFE54 |    .551566   .2527405     2.18   0.031     .0522015     1.05093
      yearFE55 |   .4750329   .2529041     1.88   0.062    -.0246547    .9747205
      yearFE56 |   .4655021   .2599686     1.79   0.075    -.0481437    .9791478
      yearFE57 |   .2576147   .2574275     1.00   0.319    -.2510102    .7662396
      yearFE58 |   .4220215   .2497016     1.69   0.093    -.0713387    .9153817
      yearFE59 |   .2542942    .241417     1.05   0.294    -.2226972    .7312856
      yearFE60 |    .010298   .2430916     0.04   0.966    -.4700021    .4905982
      yearFE61 |  -.1355321   .2306909    -0.59   0.558     -.591331    .3202668
      yearFE62 |  -.2880695   .2326958    -1.24   0.218    -.7478295    .1716905
      yearFE63 |  -.0682205   .2071098    -0.33   0.742    -.4774279    .3409868
      yearFE64 |   .3992803   .2454212     1.63   0.106    -.0856226    .8841833
      yearFE65 |   .2678006   .1957756     1.37   0.173    -.1190127    .6546139
      yearFE66 |   .1845503   .2082076     0.89   0.377     -.226826    .5959266
      yearFE67 |   -.024479   .1917087    -0.13   0.899    -.4032568    .3542988
      yearFE68 |  -.1773681   .1332078    -1.33   0.185      -.44056    .0858238
      yearFE69 |          0  (omitted)
      yearFE70 |          0  (omitted)
         _cons |   2.536525   6.576723     0.39   0.700    -10.45776    15.53081
---------------+----------------------------------------------------------------
       sigma_u |  .80467204
       sigma_e |   1.678486
           rho |  .18687797   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

added macro:
          e(Dependent) : "IMF loans"

added macro:
              e(Votes) : "Cyprus"
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,648
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.0942                                         min =          6
     between = 0.3569                                         avg =       37.2
     overall = 0.1161                                         max =         48

                                                F(51,151)         =       7.14
corr(u_i, Xb)  = -0.7973                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
      lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
           all |   .4087941   .1489476     2.74   0.007     .1145035    .7030847
        notall |   .1448056   .1204171     1.20   0.231    -.0931144    .3827256
l_lngdppcconst |  -.4925706   .2336864    -2.11   0.037    -.9542879   -.0308533
         lnpop |  -.5631166   .5721656    -0.98   0.327    -1.693601    .5673677
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |          0  (omitted)
      yearFE17 |          0  (omitted)
      yearFE18 |          0  (omitted)
      yearFE19 |          0  (omitted)
      yearFE20 |          0  (omitted)
      yearFE21 |          0  (omitted)
      yearFE22 |          0  (omitted)
      yearFE23 |   -3.61054   .7213465    -5.01   0.000    -5.035775   -2.185304
      yearFE24 |  -3.281367   .7122813    -4.61   0.000    -4.688692   -1.874043
      yearFE25 |  -2.958284    .700528    -4.22   0.000    -4.342386   -1.574181
      yearFE26 |  -2.958115   .6807289    -4.35   0.000    -4.303098   -1.613131
      yearFE27 |  -2.736336   .6715735    -4.07   0.000     -4.06323   -1.409441
      yearFE28 |  -2.257574   .6520434    -3.46   0.001    -3.545881   -.9692671
      yearFE29 |  -2.176999   .6292667    -3.46   0.001    -3.420303   -.9336944
      yearFE30 |  -1.968136   .6067571    -3.24   0.001    -3.166966   -.7693062
      yearFE31 |  -1.767122   .5834208    -3.03   0.003    -2.919844   -.6143994
      yearFE32 |  -1.842786   .5550259    -3.32   0.001    -2.939405   -.7461663
      yearFE33 |  -1.624095   .5600385    -2.90   0.004    -2.730619   -.5175719
      yearFE34 |  -1.511709   .5251343    -2.88   0.005    -2.549269   -.4741496
      yearFE35 |  -1.324569   .5124351    -2.58   0.011    -2.337038   -.3121003
      yearFE36 |  -1.450367    .501643    -2.89   0.004    -2.441513   -.4592214
      yearFE37 |  -1.653036   .5068854    -3.26   0.001     -2.65454   -.6515323
      yearFE38 |  -1.404281   .4832544    -2.91   0.004    -2.359094   -.4494672
      yearFE39 |  -1.644207   .4875111    -3.37   0.001    -2.607431   -.6809829
      yearFE40 |  -1.412002   .4633994    -3.05   0.003    -2.327586   -.4964176
      yearFE41 |  -1.600863    .453402    -3.53   0.001    -2.496694    -.705032
      yearFE42 |  -1.579181   .4483462    -3.52   0.001    -2.465023   -.6933394
      yearFE43 |  -1.482061   .4444017    -3.33   0.001     -2.36011    -.604013
      yearFE44 |  -1.484955   .4374379    -3.39   0.001    -2.349244   -.6206658
      yearFE45 |  -1.442837   .4431298    -3.26   0.001    -2.318372   -.5673013
      yearFE46 |   -1.24425   .4198029    -2.96   0.004    -2.073696   -.4148041
      yearFE47 |  -1.291006   .4013468    -3.22   0.002    -2.083986    -.498025
      yearFE48 |  -1.057411   .3776425    -2.80   0.006    -1.803557   -.3112655
      yearFE49 |  -1.132978   .3477509    -3.26   0.001    -1.820063   -.4458918
      yearFE50 |  -1.186431   .3499352    -3.39   0.001    -1.877833   -.4950293
      yearFE51 |  -1.186456   .3298665    -3.60   0.000    -1.838206   -.5347062
      yearFE52 |  -1.177011   .3216419    -3.66   0.000    -1.812511   -.5415112
      yearFE53 |  -.9657562   .3170513    -3.05   0.003    -1.592186   -.3393266
      yearFE54 |  -1.296686   .3022909    -4.29   0.000    -1.893952   -.6994202
      yearFE55 |  -1.263462   .3048337    -4.14   0.000    -1.865752   -.6611717
      yearFE56 |  -1.008546   .2838633    -3.55   0.001    -1.569403   -.4476891
      yearFE57 |   -1.16733   .3013391    -3.87   0.000    -1.762716   -.5719448
      yearFE58 |  -1.149314   .2730512    -4.21   0.000    -1.688808   -.6098194
      yearFE59 |  -.9675895   .2500891    -3.87   0.000    -1.461715   -.4734637
      yearFE60 |  -1.009626   .2506049    -4.03   0.000    -1.504771   -.5144811
      yearFE61 |  -.9657117   .2296468    -4.21   0.000    -1.419448   -.5119758
      yearFE62 |  -.7329847   .2190251    -3.35   0.001    -1.165734   -.3002352
      yearFE63 |  -.4668969   .2072668    -2.25   0.026    -.8764144   -.0573793
      yearFE64 |  -.3161145   .2234563    -1.41   0.159    -.7576193    .1253902
      yearFE65 |  -.1866864   .2441126    -0.76   0.446    -.6690038     .295631
      yearFE66 |  -.2966164   .1976307    -1.50   0.135     -.687095    .0938622
      yearFE67 |  -.5088981   .2029386    -2.51   0.013    -.9098641   -.1079322
      yearFE68 |  -.4269167   .1901978    -2.24   0.026    -.8027094   -.0511241
      yearFE69 |   .2358879   .2106341     1.12   0.265    -.1802826    .6520585
      yearFE70 |          0  (omitted)
         _cons |   16.29955   10.08127     1.62   0.108    -3.619017    36.21812
---------------+----------------------------------------------------------------
       sigma_u |  2.6452566
       sigma_e |  1.6235722
           rho |   .7263692   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

added macro:
          e(Dependent) : "WB loans"

added macro:
              e(Votes) : "Cyprus"
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      6,141
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1372                                         min =          6
     between = 0.4139                                         avg =       40.4
     overall = 0.2721                                         max =         55

                                                F(58,151)         =       5.96
corr(u_i, Xb)  = -0.8505                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
lnODAnetdis_~A |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
           all |   .3166615   .1155209     2.74   0.007     .0884155    .5449076
        notall |   .0273939   .1415249     0.19   0.847    -.2522309    .3070187
l_lngdppcconst |   -.953916   .2807347    -3.40   0.001    -1.508591   -.3992407
         lnpop |   1.234134   .6729232     1.83   0.069    -.0954265    2.563695
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |  -.2182325   .9884108    -0.22   0.826    -2.171133    1.734668
      yearFE17 |   .2631593   .9578142     0.27   0.784    -1.629289    2.155608
      yearFE18 |   .2326642   .9417851     0.25   0.805    -1.628114    2.093442
      yearFE19 |   .0860629   .9157778     0.09   0.925     -1.72333    1.895456
      yearFE20 |   .3235037   .8934897     0.36   0.718    -1.441852     2.08886
      yearFE21 |   .3964187   .9040019     0.44   0.662    -1.389707    2.182545
      yearFE22 |     .23784   .8752907     0.27   0.786    -1.491558    1.967238
      yearFE23 |   .0798589   .8629838     0.09   0.926    -1.625224    1.784941
      yearFE24 |  -.1138469   .8303126    -0.14   0.891    -1.754378    1.526684
      yearFE25 |  -.3325442   .8085509    -0.41   0.681    -1.930078     1.26499
      yearFE26 |  -.3225344   .7715884    -0.42   0.677    -1.847038    1.201969
      yearFE27 |  -.3276675   .7522889    -0.44   0.664    -1.814039    1.158704
      yearFE28 |  -.5481985   .7282971    -0.75   0.453    -1.987167    .8907702
      yearFE29 |  -.5553582   .6993499    -0.79   0.428    -1.937133    .8264166
      yearFE30 |  -.4505098   .6898869    -0.65   0.515    -1.813588     .912568
      yearFE31 |  -.5274715   .6663593    -0.79   0.430    -1.844063    .7891204
      yearFE32 |  -.5623332   .6471028    -0.87   0.386    -1.840878    .7162119
      yearFE33 |   -.645634   .6186352    -1.04   0.298    -1.867933    .5766646
      yearFE34 |  -.5559029   .6011849    -0.92   0.357    -1.743723    .6319177
      yearFE35 |  -.5055257   .5926911    -0.85   0.395    -1.676564    .6655128
      yearFE36 |  -.5769593   .5819702    -0.99   0.323    -1.726815    .5728968
      yearFE37 |   -.630026   .5662967    -1.11   0.268    -1.748914    .4888624
      yearFE38 |   -.538053   .5508261    -0.98   0.330    -1.626375    .5502686
      yearFE39 |  -.4954131   .5425652    -0.91   0.363    -1.567413    .5765867
      yearFE40 |  -.4356564   .5334644    -0.82   0.415    -1.489675     .618362
      yearFE41 |  -.5197945   .5142312    -1.01   0.314    -1.535812    .4962229
      yearFE42 |  -.6832653   .4940468    -1.38   0.169    -1.659402    .2928718
      yearFE43 |   -.762729   .4780628    -1.60   0.113    -1.707285     .181827
      yearFE44 |  -.8812692   .4577219    -1.93   0.056    -1.785636    .0230973
      yearFE45 |  -.8396503   .4533271    -1.85   0.066    -1.735334     .056033
      yearFE46 |  -.8248597   .4348853    -1.90   0.060    -1.684106    .0343862
      yearFE47 |  -.9646597   .4074701    -2.37   0.019    -1.769739   -.1595808
      yearFE48 |  -.8279609   .3746092    -2.21   0.029    -1.568113   -.0878084
      yearFE49 |  -.8468404   .3858393    -2.19   0.030    -1.609181   -.0844996
      yearFE50 |  -1.012608   .3699602    -2.74   0.007    -1.743575   -.2816413
      yearFE51 |   -1.21908   .3477199    -3.51   0.001    -1.906105   -.5320555
      yearFE52 |  -1.264725   .3297631    -3.84   0.000     -1.91627   -.6131791
      yearFE53 |   -1.24748   .3148875    -3.96   0.000    -1.869635   -.6253261
      yearFE54 |  -.9638078   .2897151    -3.33   0.001    -1.536227   -.3913891
      yearFE55 |   -.974043   .2680566    -3.63   0.000    -1.503669   -.4444171
      yearFE56 |  -.8263328   .2531468    -3.26   0.001      -1.3265   -.3261656
      yearFE57 |  -.5471169   .2439097    -2.24   0.026    -1.029033   -.0652004
      yearFE58 |  -.4550686   .2463859    -1.85   0.067    -.9418776    .0317405
      yearFE59 |   -.441399   .2326135    -1.90   0.060    -.9009965    .0181985
      yearFE60 |  -.3056934    .211911    -1.44   0.151     -.724387    .1130003
      yearFE61 |  -.1858616   .1883945    -0.99   0.325    -.5580913    .1863681
      yearFE62 |  -.2421068    .171394    -1.41   0.160    -.5807469    .0965334
      yearFE63 |  -.0284307   .1529211    -0.19   0.853     -.330572    .2737106
      yearFE64 |   .0649231   .1361497     0.48   0.634    -.2040812    .3339275
      yearFE65 |   .0665888   .1241263     0.54   0.592    -.1786599    .3118375
      yearFE66 |   .0918477   .1071092     0.86   0.393    -.1197786    .3034739
      yearFE67 |   .0790937   .0846752     0.93   0.352    -.0882075     .246395
      yearFE68 |   .1745025   .0784438     2.22   0.028     .0195133    .3294917
      yearFE69 |   .0331396   .0480085     0.69   0.491    -.0617156    .1279948
      yearFE70 |          0  (omitted)
         _cons |  -8.786973   11.76231    -0.75   0.456    -32.02692    14.45298
---------------+----------------------------------------------------------------
       sigma_u |  2.3046977
       sigma_e |  1.3469014
           rho |  .74541105   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

added macro:
          e(Dependent) : "US aid"

added macro:
              e(Votes) : "Sanctions"
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,825
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1243                                         min =          6
     between = 0.2874                                         avg =       38.3
     overall = 0.1413                                         max =         54

                                                F(58,151)         =       9.90
corr(u_i, Xb)  = -0.2154                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
IMFcommitmen~y |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
           all |   .4187881   .1652175     2.53   0.012     .0923516    .7452247
        notall |   -.247133   .1699742    -1.45   0.148    -.5829678    .0887018
l_lngdppcconst |  -.3391787   .1275731    -2.66   0.009    -.5912374     -.08712
         lnpop |  -.0086233   .3950479    -0.02   0.983    -.7891584    .7719118
       pastIMF |    1.52731   .1587123     9.62   0.000     1.213727    1.840894
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |   .0327717   .5387012     0.06   0.952    -1.031594    1.097137
      yearFE17 |  -.3304296   .5187064    -0.64   0.525    -1.355289    .6944299
      yearFE18 |  -.3578865   .5309914    -0.67   0.501    -1.407019    .6912457
      yearFE19 |  -.3468586   .5202703    -0.67   0.506    -1.374808    .6810908
      yearFE20 |  -.2451395   .5283687    -0.46   0.643     -1.28909    .7988109
      yearFE21 |  -.1903446   .4994806    -0.38   0.704    -1.177218    .7965286
      yearFE22 |  -.2138036   .4676881    -0.46   0.648    -1.137861    .7102541
      yearFE23 |  -.0804804    .459304    -0.18   0.861    -.9879728     .827012
      yearFE24 |  -.3148758   .4651248    -0.68   0.499    -1.233869    .6041173
      yearFE25 |   -.353759   .4513486    -0.78   0.434    -1.245533    .5380151
      yearFE26 |  -.5598525   .4333773    -1.29   0.198    -1.416119     .296414
      yearFE27 |  -.3484781   .4241018    -0.82   0.413    -1.186418    .4894618
      yearFE28 |  -.4660545   .4201331    -1.11   0.269    -1.296153     .364044
      yearFE29 |  -.5137137   .4292116    -1.20   0.233    -1.361749    .3343221
      yearFE30 |  -.5607744   .4098967    -1.37   0.173    -1.370648     .249099
      yearFE31 |  -.4020865   .4017411    -1.00   0.318    -1.195846     .391673
      yearFE32 |  -.1085818   .3659533    -0.30   0.767     -.831632    .6144684
      yearFE33 |  -.2279212   .3796169    -0.60   0.549    -.9779679    .5221255
      yearFE34 |   .0603338   .3780065     0.16   0.873     -.686531    .8071986
      yearFE35 |   .4630445    .382553     1.21   0.228    -.2928034    1.218892
      yearFE36 |   .5822428   .3774501     1.54   0.125    -.1635227    1.328008
      yearFE37 |   .2127421   .3554813     0.60   0.550    -.4896174    .9151015
      yearFE38 |   .8552255   .3388879     2.52   0.013     .1856512      1.5248
      yearFE39 |   .3667752   .3165441     1.16   0.248    -.2586524    .9922028
      yearFE40 |   .3261861   .3310443     0.99   0.326    -.3278908    .9802631
      yearFE41 |   .2283987   .3007681     0.76   0.449    -.3658586     .822656
      yearFE42 |   .2892802   .2830287     1.02   0.308    -.2699277     .848488
      yearFE43 |   .3723793   .3079737     1.21   0.229    -.2361147    .9808733
      yearFE44 |   .7004785   .3058651     2.29   0.023     .0961505    1.304807
      yearFE45 |   .3722779   .2722197     1.37   0.173    -.1655734    .9101293
      yearFE46 |   .4987192   .2651786     1.88   0.062    -.0252204    1.022659
      yearFE47 |   .4305575   .2599672     1.66   0.100    -.0830854    .9442004
      yearFE48 |   .1297064   .2799642     0.46   0.644    -.4234465    .6828594
      yearFE49 |   .4323304   .2759014     1.57   0.119    -.1127953    .9774561
      yearFE50 |   .5556631   .2549482     2.18   0.031     .0519368    1.059389
      yearFE51 |   .5609062   .2470336     2.27   0.025     .0728176    1.048995
      yearFE52 |    .519518    .268216     1.94   0.055    -.0104228    1.049459
      yearFE53 |   .5353263   .2636056     2.03   0.044     .0144947    1.056158
      yearFE54 |   .5518468   .2527188     2.18   0.031     .0525253    1.051168
      yearFE55 |   .4753071   .2529386     1.88   0.062    -.0244487     .975063
      yearFE56 |   .4668865   .2608517     1.79   0.075     -.048504    .9822771
      yearFE57 |   .2586828   .2577703     1.00   0.317    -.2506194     .767985
      yearFE58 |   .4232131   .2503837     1.69   0.093    -.0714948    .9179209
      yearFE59 |   .2556538   .2424403     1.05   0.293    -.2233594     .734667
      yearFE60 |   .0104315    .242907     0.04   0.966    -.4695038    .4903668
      yearFE61 |  -.1343707   .2313208    -0.58   0.562     -.591414    .3226725
      yearFE62 |  -.2879169   .2327253    -1.24   0.218    -.7477353    .1719015
      yearFE63 |  -.0678122   .2070342    -0.33   0.744    -.4768701    .3412457
      yearFE64 |   .4042525    .244996     1.65   0.101    -.0798102    .8883153
      yearFE65 |   .2680636   .1957893     1.37   0.173    -.1187767    .6549038
      yearFE66 |   .1859821   .2091248     0.89   0.375    -.2272064    .5991706
      yearFE67 |  -.0245977   .1916017    -0.13   0.898    -.4031641    .3539686
      yearFE68 |  -.1774329   .1332021    -1.33   0.185    -.4406135    .0857477
      yearFE69 |          0  (omitted)
      yearFE70 |          0  (omitted)
         _cons |   2.550214   6.595767     0.39   0.700    -10.48169    15.58212
---------------+----------------------------------------------------------------
       sigma_u |  .80431531
       sigma_e |  1.6783456
           rho |  .18676865   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

added macro:
          e(Dependent) : "IMF loans"

added macro:
              e(Votes) : "Sanctions"
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,648
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.0942                                         min =          6
     between = 0.3573                                         avg =       37.2
     overall = 0.1163                                         max =         48

                                                F(51,151)         =       7.16
corr(u_i, Xb)  = -0.7974                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
      lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
           all |   .4048907   .1420776     2.85   0.005     .1241738    .6856075
        notall |   .1435792   .1143617     1.26   0.211    -.0823765     .369535
l_lngdppcconst |  -.4921786   .2336707    -2.11   0.037    -.9538649   -.0304922
         lnpop |  -.5633334   .5722234    -0.98   0.326    -1.693932     .567265
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |          0  (omitted)
      yearFE17 |          0  (omitted)
      yearFE18 |          0  (omitted)
      yearFE19 |          0  (omitted)
      yearFE20 |          0  (omitted)
      yearFE21 |          0  (omitted)
      yearFE22 |          0  (omitted)
      yearFE23 |  -3.610207   .7213126    -5.01   0.000    -5.035375   -2.185038
      yearFE24 |  -3.280996   .7122982    -4.61   0.000    -4.688354   -1.873638
      yearFE25 |  -2.958107   .7006846    -4.22   0.000    -4.342519   -1.573695
      yearFE26 |  -2.957926   .6806647    -4.35   0.000    -4.302782   -1.613069
      yearFE27 |  -2.736248    .671715    -4.07   0.000    -4.063421   -1.409074
      yearFE28 |  -2.257494    .652228    -3.46   0.001    -3.546166    -.968823
      yearFE29 |  -2.176875   .6293716    -3.46   0.001    -3.420387   -.9333631
      yearFE30 |  -1.968083   .6069111    -3.24   0.001    -3.167218   -.7689489
      yearFE31 |  -1.767094   .5836544    -3.03   0.003    -2.920278   -.6139105
      yearFE32 |   -1.84274   .5552723    -3.32   0.001    -2.939847   -.7456339
      yearFE33 |  -1.623872   .5600212    -2.90   0.004    -2.730361   -.5173824
      yearFE34 |  -1.511448   .5250195    -2.88   0.005    -2.548781   -.4741155
      yearFE35 |  -1.324471   .5126868    -2.58   0.011    -2.337437   -.3115049
      yearFE36 |  -1.450247   .5019577    -2.89   0.004    -2.442015   -.4584796
      yearFE37 |  -1.652926   .5070614    -3.26   0.001    -2.654777   -.6510744
      yearFE38 |  -1.404111    .483536    -2.90   0.004     -2.35948   -.4487408
      yearFE39 |  -1.644053   .4876327    -3.37   0.001    -2.607517   -.6805893
      yearFE40 |  -1.411861   .4635975    -3.05   0.003    -2.327836   -.4958854
      yearFE41 |  -1.600728   .4536379    -3.53   0.001    -2.497025   -.7044303
      yearFE42 |  -1.592941   .4487456    -3.55   0.001    -2.479573   -.7063104
      yearFE43 |  -1.481943   .4446424    -3.33   0.001    -2.360467   -.6034187
      yearFE44 |  -1.484828   .4374711    -3.39   0.001    -2.349183   -.6204734
      yearFE45 |  -1.442716   .4433326    -3.25   0.001    -2.318652     -.56678
      yearFE46 |   -1.24408   .4198461    -2.96   0.004    -2.073612   -.4145489
      yearFE47 |  -1.290798   .4013847    -3.22   0.002    -2.083853   -.4977422
      yearFE48 |  -1.057181   .3776842    -2.80   0.006    -1.803409   -.3109525
      yearFE49 |  -1.128887   .3481059    -3.24   0.001    -1.816674   -.4410993
      yearFE50 |  -1.186313     .35002    -3.39   0.001    -1.877882   -.4947438
      yearFE51 |  -1.186349   .3299508    -3.60   0.000    -1.838265   -.5344321
      yearFE52 |  -1.176922   .3217018    -3.66   0.000     -1.81254   -.5413034
      yearFE53 |   -.965547   .3170569    -3.05   0.003    -1.591988   -.3391064
      yearFE54 |  -1.296473   .3023173    -4.29   0.000    -1.893791   -.6991548
      yearFE55 |  -1.263251   .3048257    -4.14   0.000    -1.865526    -.660977
      yearFE56 |  -1.008477   .2840906    -3.55   0.001    -1.569783   -.4471712
      yearFE57 |  -1.167246   .3014055    -3.87   0.000    -1.762763   -.5717293
      yearFE58 |  -1.149223   .2733586    -4.20   0.000    -1.689324   -.6091211
      yearFE59 |  -.9674896   .2503963    -3.86   0.000    -1.462222   -.4727568
      yearFE60 |  -1.009433   .2505872    -4.03   0.000    -1.504543   -.5143231
      yearFE61 |  -.9656763   .2299743    -4.20   0.000    -1.420059   -.5112933
      yearFE62 |  -.7329187   .2190706    -3.35   0.001    -1.165758   -.3000793
      yearFE63 |  -.4668263   .2074006    -2.25   0.026    -.8766082   -.0570444
      yearFE64 |  -.3140789   .2236756    -1.40   0.162    -.7560169    .1278591
      yearFE65 |  -.1866014   .2441785    -0.76   0.446    -.6690491    .2958463
      yearFE66 |  -.2966552    .197884    -1.50   0.136     -.687634    .0943237
      yearFE67 |  -.5087751    .202919    -2.51   0.013    -.9097023   -.1078479
      yearFE68 |  -.4268294   .1901889    -2.24   0.026    -.8026044   -.0510543
      yearFE69 |   .2359398   .2106332     1.12   0.264    -.1802291    .6521086
      yearFE70 |          0  (omitted)
         _cons |   16.29992   10.08219     1.62   0.108    -3.620465     36.2203
---------------+----------------------------------------------------------------
       sigma_u |    2.64572
       sigma_e |   1.623577
           rho |  .72643765   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

added macro:
          e(Dependent) : "WB loans"

added macro:
              e(Votes) : "Sanctions"
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      6,141
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1374                                         min =          6
     between = 0.4140                                         avg =       40.4
     overall = 0.2723                                         max =         55

                                                F(58,151)         =       6.02
corr(u_i, Xb)  = -0.8501                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
lnODAnetdis_~A |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
           all |   .3469232   .1145338     3.03   0.003     .1206273     .573219
        notall |   .0077436   .1400694     0.06   0.956    -.2690053    .2844926
l_lngdppcconst |  -.9543262   .2807302    -3.40   0.001    -1.508993   -.3996598
         lnpop |   1.232649   .6728139     1.83   0.069    -.0966959    2.561994
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |  -.2206276   .9880703    -0.22   0.824    -2.172856    1.731601
      yearFE17 |   .2605466   .9575557     0.27   0.786    -1.631391    2.152484
      yearFE18 |    .230096   .9416227     0.24   0.807    -1.630361    2.090553
      yearFE19 |   .0839775   .9156879     0.09   0.927    -1.725238    1.893193
      yearFE20 |   .3210286   .8932921     0.36   0.720    -1.443937    2.085994
      yearFE21 |   .3945122   .9037327     0.44   0.663    -1.391082    2.180106
      yearFE22 |    .235697   .8750606     0.27   0.788    -1.493247    1.964641
      yearFE23 |   .0770021    .862851     0.09   0.929    -1.627818    1.781822
      yearFE24 |   -.117023   .8302078    -0.14   0.888    -1.757347    1.523301
      yearFE25 |  -.3327239   .8084746    -0.41   0.681    -1.930107    1.264659
      yearFE26 |    -.32435   .7714884    -0.42   0.675    -1.848656    1.199956
      yearFE27 |  -.3276343   .7522864    -0.44   0.664    -1.814001    1.158732
      yearFE28 |  -.5470446   .7283129    -0.75   0.454    -1.986044    .8919552
      yearFE29 |  -.5545259   .6994036    -0.79   0.429    -1.936407    .8273549
      yearFE30 |  -.4494988   .6898859    -0.65   0.516    -1.812575    .9135771
      yearFE31 |  -.5266595   .6663458    -0.79   0.431    -1.843225    .7899058
      yearFE32 |  -.5610335   .6471196    -0.87   0.387    -1.839612    .7175447
      yearFE33 |  -.6475894   .6185591    -1.05   0.297    -1.869738    .5745589
      yearFE34 |  -.5581433   .6009929    -0.93   0.355    -1.745585    .6292978
      yearFE35 |   -.504268   .5927344    -0.85   0.396    -1.675392    .6668561
      yearFE36 |  -.5757995   .5819713    -0.99   0.324    -1.725658    .5740588
      yearFE37 |  -.6288595   .5663205    -1.11   0.269    -1.747795    .4900759
      yearFE38 |  -.5367635   .5508467    -0.97   0.331    -1.625126    .5515989
      yearFE39 |  -.4936265    .542655    -0.91   0.364    -1.565804    .5785506
      yearFE40 |  -.4340363   .5335715    -0.81   0.417    -1.488266    .6201937
      yearFE41 |  -.5181626   .5142987    -1.01   0.315    -1.534313    .4979882
      yearFE42 |  -.6664477   .4942306    -1.35   0.180    -1.642948    .3100526
      yearFE43 |  -.7612623   .4781788    -1.59   0.113    -1.706048    .1835229
      yearFE44 |  -.8796177   .4578215    -1.92   0.057    -1.784181    .0249456
      yearFE45 |  -.8381266   .4533971    -1.85   0.066    -1.733948    .0576949
      yearFE46 |  -.8249714    .434862    -1.90   0.060    -1.684171    .0342284
      yearFE47 |  -.9655972   .4074142    -2.37   0.019    -1.770566   -.1606287
      yearFE48 |  -.8288811   .3746079    -2.21   0.028    -1.569031   -.0887313
      yearFE49 |  -.8468528   .3857875    -2.20   0.030    -1.609091   -.0846144
      yearFE50 |  -1.010771   .3701577    -2.73   0.007    -1.742128   -.2794137
      yearFE51 |  -1.217173   .3479301    -3.50   0.001    -1.904613   -.5297331
      yearFE52 |  -1.262928   .3299496    -3.83   0.000    -1.914842   -.6110138
      yearFE53 |  -1.248072   .3149133    -3.96   0.000    -1.870277   -.6258664
      yearFE54 |  -.9642307   .2897284    -3.33   0.001    -1.536676   -.3917856
      yearFE55 |  -.9767721   .2681125    -3.64   0.000    -1.506509   -.4470356
      yearFE56 |  -.8244582   .2532593    -3.26   0.001    -1.324848   -.3240687
      yearFE57 |  -.5457545   .2440346    -2.24   0.027    -1.027918   -.0635912
      yearFE58 |  -.4535526   .2465202    -1.84   0.068    -.9406269    .0335217
      yearFE59 |  -.4396725   .2327406    -1.89   0.061     -.899521    .0201761
      yearFE60 |  -.3062042   .2119513    -1.44   0.151    -.7249773    .1125689
      yearFE61 |  -.1841303   .1885092    -0.98   0.330    -.5565864    .1883259
      yearFE62 |  -.2419791   .1714337    -1.41   0.160    -.5806975    .0967394
      yearFE63 |  -.0279713   .1530666    -0.18   0.855    -.3304001    .2744575
      yearFE64 |   .0650464   .1362694     0.48   0.634    -.2041946    .3342873
      yearFE65 |    .066736   .1242346     0.54   0.592    -.1787266    .3121986
      yearFE66 |   .0942749   .1072319     0.88   0.381    -.1175938    .3061437
      yearFE67 |   .0784933    .084738     0.93   0.356     -.088932    .2459186
      yearFE68 |   .1741536   .0784551     2.22   0.028     .0191421    .3291652
      yearFE69 |   .0330615   .0480224     0.69   0.492    -.0618212    .1279442
      yearFE70 |          0  (omitted)
         _cons |   -8.76154   11.76058    -0.74   0.457    -31.99809    14.47501
---------------+----------------------------------------------------------------
       sigma_u |  2.3021027
       sigma_e |  1.3467434
           rho |   .7450278   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

added macro:
          e(Dependent) : "US aid"

added macro:
              e(Votes) : "Extensions"
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,825
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1241                                         min =          6
     between = 0.2879                                         avg =       38.3
     overall = 0.1412                                         max =         54

                                                F(58,151)         =       9.79
corr(u_i, Xb)  = -0.2163                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
IMFcommitmen~y |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
           all |   .4051795   .1680437     2.41   0.017      .073159       .7372
        notall |  -.2179591   .1711433    -1.27   0.205     -.556104    .1201857
l_lngdppcconst |  -.3392757   .1275971    -2.66   0.009    -.5913819   -.0871696
         lnpop |  -.0071488   .3943867    -0.02   0.986    -.7863776      .77208
       pastIMF |   1.527332   .1582974     9.65   0.000     1.214568    1.840096
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |   .0337932   .5384389     0.06   0.950    -1.030054     1.09764
      yearFE17 |  -.3288991   .5182991    -0.63   0.527    -1.352954    .6951557
      yearFE18 |  -.3563709   .5304284    -0.67   0.503    -1.404391     .691649
      yearFE19 |  -.3458163     .51984    -0.67   0.507    -1.372916     .681283
      yearFE20 |  -.2438826   .5278842    -0.46   0.645    -1.286876    .7991104
      yearFE21 |  -.1893146   .4989822    -0.38   0.705    -1.175203    .7965739
      yearFE22 |  -.2126497   .4672689    -0.46   0.650    -1.135879    .7105797
      yearFE23 |  -.0789778    .459063    -0.17   0.864    -.9859939    .8280383
      yearFE24 |  -.3132088   .4646444    -0.67   0.501    -1.231253     .604835
      yearFE25 |  -.3547117   .4513373    -0.79   0.433    -1.246463      .53704
      yearFE26 |  -.5588335   .4328274    -1.29   0.199    -1.414013    .2963463
      yearFE27 |  -.3491808   .4242679    -0.82   0.412    -1.187449    .4890873
      yearFE28 |  -.4681213   .4204634    -1.11   0.267    -1.298872    .3626298
      yearFE29 |  -.5155896   .4292818    -1.20   0.232    -1.363764    .3325849
      yearFE30 |  -.5624531   .4098909    -1.37   0.172    -1.372315    .2474089
      yearFE31 |  -.4033268   .4015286    -1.00   0.317    -1.196667    .3900129
      yearFE32 |  -.1105182   .3657381    -0.30   0.763    -.8331432    .6121067
      yearFE33 |  -.2268289   .3790882    -0.60   0.551     -.975831    .5221732
      yearFE34 |   .0615143   .3776569     0.16   0.871    -.6846597    .8076883
      yearFE35 |   .4610369   .3829329     1.20   0.230    -.2955615    1.217635
      yearFE36 |   .5805583    .377846     1.54   0.127    -.1659893    1.327106
      yearFE37 |   .2111189   .3555188     0.59   0.554    -.4913147    .9135525
      yearFE38 |   .8531708   .3384915     2.52   0.013     .1843797    1.521962
      yearFE39 |    .364278   .3161645     1.15   0.251    -.2603995    .9889556
      yearFE40 |   .3239889   .3310074     0.98   0.329    -.3300152    .9779931
      yearFE41 |   .2262093   .3008646     0.75   0.453    -.3682388    .8206573
      yearFE42 |   .3240538   .2806911     1.15   0.250    -.2305354     .878643
      yearFE43 |   .3704653   .3079416     1.20   0.231    -.2379655     .978896
      yearFE44 |    .698307   .3055176     2.29   0.024     .0946656    1.301948
      yearFE45 |    .370594   .2717703     1.36   0.175    -.1663695    .9075576
      yearFE46 |   .4983304   .2651338     1.88   0.062    -.0255207    1.022181
      yearFE47 |   .4309763   .2600029     1.66   0.099    -.0827371    .9446897
      yearFE48 |    .130067   .2800521     0.46   0.643    -.4232597    .6833937
      yearFE49 |    .431812   .2758442     1.57   0.120    -.1132007    .9768246
      yearFE50 |   .5535568   .2544877     2.18   0.031     .0507403    1.056373
      yearFE51 |   .5587563   .2468981     2.26   0.025     .0709353    1.046577
      yearFE52 |   .5175594   .2679048     1.93   0.055    -.0117666    1.046886
      yearFE53 |    .535427   .2637137     2.03   0.044     .0143817    1.056472
      yearFE54 |   .5517231   .2527247     2.18   0.031     .0523899    1.051056
      yearFE55 |   .4708884    .253296     1.86   0.065    -.0295736    .9713504
      yearFE56 |   .4648903   .2602303     1.79   0.076    -.0492724     .979053
      yearFE57 |   .2572042   .2575805     1.00   0.320    -.2517231    .7661315
      yearFE58 |   .4215232   .2498594     1.69   0.094    -.0721486    .9151951
      yearFE59 |   .2536742   .2418653     1.05   0.296    -.2242031    .7315514
      yearFE60 |   .0104732   .2429826     0.04   0.966    -.4696116     .490558
      yearFE61 |  -.1360794   .2311829    -0.59   0.557    -.5928504    .3206916
      yearFE62 |  -.2881066   .2327396    -1.24   0.218    -.7479533    .1717401
      yearFE63 |  -.0684515   .2070587    -0.33   0.741    -.4775578    .3406548
      yearFE64 |   .4039148   .2449677     1.65   0.101    -.0800921    .8879216
      yearFE65 |   .2677003   .1957744     1.37   0.174    -.1191105    .6545111
      yearFE66 |   .1836556   .2086947     0.88   0.380    -.2286832    .5959944
      yearFE67 |  -.0243414   .1915869    -0.13   0.899    -.4028785    .3541957
      yearFE68 |  -.1773038     .13321    -1.33   0.185    -.4404999    .0858923
      yearFE69 |          0  (omitted)
      yearFE70 |          0  (omitted)
         _cons |   2.528448      6.586     0.38   0.702    -10.48416    15.54106
---------------+----------------------------------------------------------------
       sigma_u |  .80427238
       sigma_e |  1.6785771
           rho |  .18671055   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

added macro:
          e(Dependent) : "IMF loans"

added macro:
              e(Votes) : "Extensions"
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,648
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.0942                                         min =          6
     between = 0.3574                                         avg =       37.2
     overall = 0.1164                                         max =         48

                                                F(51,151)         =       7.19
corr(u_i, Xb)  = -0.7976                        Prob > F          =     0.0000

                              (Std. Err. adjusted for 152 clusters in countryid)
--------------------------------------------------------------------------------
               |               Robust
      lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
           all |   .4121836   .1485663     2.77   0.006     .1186464    .7057207
        notall |   .1449299   .1197483     1.21   0.228    -.0916686    .3815285
l_lngdppcconst |  -.4922563   .2336888    -2.11   0.037    -.9539783   -.0305343
         lnpop |    -.56358   .5722152    -0.98   0.326    -1.694162    .5670023
       yearFE1 |          0  (omitted)
       yearFE2 |          0  (omitted)
       yearFE3 |          0  (omitted)
       yearFE4 |          0  (omitted)
       yearFE5 |          0  (omitted)
       yearFE6 |          0  (omitted)
       yearFE7 |          0  (omitted)
       yearFE8 |          0  (omitted)
       yearFE9 |          0  (omitted)
      yearFE10 |          0  (omitted)
      yearFE11 |          0  (omitted)
      yearFE12 |          0  (omitted)
      yearFE13 |          0  (omitted)
      yearFE14 |          0  (omitted)
      yearFE15 |          0  (omitted)
      yearFE16 |          0  (omitted)
      yearFE17 |          0  (omitted)
      yearFE18 |          0  (omitted)
      yearFE19 |          0  (omitted)
      yearFE20 |          0  (omitted)
      yearFE21 |          0  (omitted)
      yearFE22 |          0  (omitted)
      yearFE23 |  -3.610875   .7213781    -5.01   0.000    -5.036173   -2.185577
      yearFE24 |   -3.28174   .7122891    -4.61   0.000    -4.689081     -1.8744
      yearFE25 |  -2.958445   .7005275    -4.22   0.000    -4.342546   -1.574343
      yearFE26 |  -2.958337   .6807071    -4.35   0.000    -4.303278   -1.613397
      yearFE27 |  -2.736437    .671561    -4.07   0.000    -4.063306   -1.409567
      yearFE28 |  -2.257637   .6520299    -3.46   0.001    -3.545917   -.9693568
      yearFE29 |  -2.177098   .6292467    -3.46   0.001    -3.420363   -.9338329
      yearFE30 |  -1.968193   .6067495    -3.24   0.001    -3.167008   -.7693783
      yearFE31 |  -1.767163   .5834242    -3.03   0.003    -2.919892    -.614434
      yearFE32 |  -1.842826   .5550182    -3.32   0.001     -2.93943   -.7462212
      yearFE33 |  -1.624323   .5600331    -2.90   0.004    -2.730836   -.5178102
      yearFE34 |  -1.511972   .5251233    -2.88   0.005     -2.54951   -.4744334
      yearFE35 |  -1.324611   .5124365    -2.58   0.011    -2.337083   -.3121399
      yearFE36 |  -1.450261   .5016448    -2.89   0.004    -2.441411    -.459112
      yearFE37 |  -1.652923   .5068774    -3.26   0.001    -2.654411   -.6514354
      yearFE38 |  -1.404188   .4832575    -2.91   0.004    -2.359007   -.4493681
      yearFE39 |   -1.64407   .4874948    -3.37   0.001    -2.607262   -.6808781
      yearFE40 |  -1.411852   .4633864    -3.05   0.003     -2.32741   -.4962934
      yearFE41 |   -1.60071   .4533828    -3.53   0.001    -2.496503   -.7049164
      yearFE42 |  -1.579021   .4483452    -3.52   0.001    -2.464861   -.6931816
      yearFE43 |  -1.481894   .4443943    -3.33   0.001    -2.359928     -.60386
      yearFE44 |  -1.484783    .437442    -3.39   0.001    -2.349081   -.6204857
      yearFE45 |  -1.442652   .4431411    -3.26   0.001    -2.318209    -.567094
      yearFE46 |  -1.244253   .4198054    -2.96   0.004    -2.073704   -.4148014
      yearFE47 |  -1.291036   .4013426    -3.22   0.002    -2.084008   -.4980637
      yearFE48 |  -1.057423   .3776402    -2.80   0.006    -1.803564   -.3112817
      yearFE49 |  -1.129047   .3480789    -3.24   0.001    -1.816781   -.4413134
      yearFE50 |   -1.18625   .3499409    -3.39   0.001    -1.877663   -.4948373
      yearFE51 |   -1.18627   .3298955    -3.60   0.000    -1.838077   -.5344629
      yearFE52 |  -1.176829   .3217064    -3.66   0.000    -1.812456   -.5412013
      yearFE53 |  -.9657362   .3170419    -3.05   0.003    -1.592147   -.3393251
      yearFE54 |  -1.296666   .3022865    -4.29   0.000    -1.893923   -.6994086
      yearFE55 |  -1.265268   .3047105    -4.15   0.000    -1.867315   -.6632217
      yearFE56 |  -1.008365   .2838933    -3.55   0.001    -1.569281   -.4474491
      yearFE57 |  -1.167175   .3013682    -3.87   0.000    -1.762618   -.5717317
      yearFE58 |  -1.149157   .2731362    -4.21   0.000    -1.688819   -.6094945
      yearFE59 |  -.9674309   .2501045    -3.87   0.000    -1.461587   -.4732747
      yearFE60 |  -1.009612   .2505977    -4.03   0.000    -1.504743   -.5144814
      yearFE61 |  -.9655387   .2296252    -4.20   0.000    -1.419232   -.5118455
      yearFE62 |  -.7329433   .2190229    -3.35   0.001    -1.165688   -.3001981
      yearFE63 |  -.4668632   .2072621    -2.25   0.026    -.8763714   -.0573551
      yearFE64 |  -.3141532   .2235943    -1.41   0.162    -.7559305    .1276241
      yearFE65 |  -.1866717   .2441013    -0.76   0.446    -.6689667    .2956234
      yearFE66 |  -.2964572   .1976856    -1.50   0.136    -.6870443    .0941299
      yearFE67 |  -.5089411   .2028993    -2.51   0.013    -.9098292   -.1080529
      yearFE68 |  -.4269405   .1901777    -2.24   0.026    -.8026935   -.0511876
      yearFE69 |   .2358915   .2106295     1.12   0.265      -.18027     .652053
      yearFE70 |          0  (omitted)
         _cons |   16.30416   10.08199     1.62   0.108    -3.615818    36.22415
---------------+----------------------------------------------------------------
       sigma_u |  2.6462222
       sigma_e |  1.6235655
           rho |  .72651587   (fraction of variance due to u_i)
--------------------------------------------------------------------------------

added macro:
          e(Dependent) : "WB loans"

added macro:
              e(Votes) : "Extensions"

. estout US* IMF* WB* using "tables/TableA9.xls", title("") ///
>  replace delimiter(_tab) label noabbrev style(tab) collabels(none) ///
>  drop( l_lngdppcconst lnpop pastIMF _cons ) indicate("Country FE, Year FE, Controls" = yearFE*)   ///
>  cells(b(star fmt(3)) se(par([ ]) abs fmt(3))) starlevels(* 0.1 ** 0.05 *** 0.01) ///
>  stats(N r2 Votes Dependent, fmt(0 3 3 0 0) label("Observations" "R-squared" "Exluding Resolutions on:" "Dependent Variable"))
>   ///
>  mlabels("[A1]" "[A2]" "[A3]" "[A4]" "[A5]" "[A6]" "[B1]" "[B2]" "[B3]" "[B4]" "[B5]" "[B6]" "[C1]" "[C2]" "[C3]" "[C4]" "[C5]
> " "[C6]") //
(output written to tables/TableA9.xls)

. 
. 
.  
.  
.  *Table A10 and Table A11
.         
.                 xtset countryid year
       panel variable:  countryid (strongly balanced)
        time variable:  year, 1946 to 2015
                delta:  1 unit

.                 sort countryid year

. 
.                 
.         
.         cap est drop control*

.                         xtreg lnODAnetdis_USA   votedallwithUSA  votednotallwithUSA             l_lngdppcconst lnpop war odare
> c trade fdiin domcredit  yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,189
Group variable: countryid                       Number of groups  =        142

R-sq:                                           Obs per group:
     within  = 0.1935                                         min =          6
     between = 0.3979                                         avg =       36.5
     overall = 0.2818                                         max =         55

                                                F(63,141)         =       7.21
corr(u_i, Xb)  = -0.9290                        Prob > F          =     0.0000

                                  (Std. Err. adjusted for 142 clusters in countryid)
------------------------------------------------------------------------------------
                   |               Robust
   lnODAnetdis_USA |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
   votedallwithUSA |   .2845441   .1060085     2.68   0.008     .0749726    .4941155
votednotallwithUSA |  -.0465999   .1420259    -0.33   0.743    -.3273755    .2341757
    l_lngdppcconst |  -.5539238   .3145873    -1.76   0.080    -1.175841    .0679937
             lnpop |   2.090337   .4634676     4.51   0.000     1.174093     3.00658
               war |   .0986837   .2460665     0.40   0.689    -.3877728    .5851403
            odarec |   .0380508   .0127558     2.98   0.003     .0128334    .0632682
             trade |  -.0001927   .0019776    -0.10   0.923    -.0041023    .0037169
             fdiin |   .0010299     .00606     0.17   0.865    -.0109503    .0130101
         domcredit |  -.0040515   .0072465    -0.56   0.577    -.0183773    .0102743
           yearFE1 |          0  (omitted)
           yearFE2 |          0  (omitted)
           yearFE3 |          0  (omitted)
           yearFE4 |          0  (omitted)
           yearFE5 |          0  (omitted)
           yearFE6 |          0  (omitted)
           yearFE7 |          0  (omitted)
           yearFE8 |          0  (omitted)
           yearFE9 |          0  (omitted)
          yearFE10 |          0  (omitted)
          yearFE11 |          0  (omitted)
          yearFE12 |          0  (omitted)
          yearFE13 |          0  (omitted)
          yearFE14 |          0  (omitted)
          yearFE15 |          0  (omitted)
          yearFE16 |   1.899446   .7624067     2.49   0.014     .3922203    3.406672
          yearFE17 |    2.04707   .7160568     2.86   0.005     .6314746    3.462665
          yearFE18 |   2.068611    .709294     2.92   0.004     .6663852    3.470836
          yearFE19 |   1.733107   .6762772     2.56   0.011     .3961537    3.070061
          yearFE20 |   2.007339   .6201625     3.24   0.002     .7813207    3.233358
          yearFE21 |   2.020139   .6095898     3.31   0.001     .8150216    3.225256
          yearFE22 |   1.797524   .5737878     3.13   0.002     .6631847    2.931863
          yearFE23 |   1.537596    .571069     2.69   0.008     .4086312     2.66656
          yearFE24 |    1.31968   .5490777     2.40   0.018     .2341913    2.405169
          yearFE25 |    .956889    .528885     1.81   0.073    -.0886804    2.002458
          yearFE26 |   .9989373   .5095651     1.96   0.052    -.0084381    2.006313
          yearFE27 |   .8481647   .5002657     1.70   0.092    -.1408264    1.837156
          yearFE28 |   .5542456   .4829642     1.15   0.253    -.4005415    1.509033
          yearFE29 |   .5357771   .4721465     1.13   0.258    -.3976242    1.469178
          yearFE30 |   .5977061   .4721239     1.27   0.208    -.3356504    1.531063
          yearFE31 |   .4085894   .4470582     0.91   0.362    -.4752141    1.292393
          yearFE32 |   .3166846   .4606286     0.69   0.493    -.5939466    1.227316
          yearFE33 |   .1829504   .4416446     0.41   0.679    -.6901507    1.056052
          yearFE34 |   .2398232   .4356849     0.55   0.583     -.621496    1.101142
          yearFE35 |   .2824223   .4366726     0.65   0.519    -.5808495    1.145694
          yearFE36 |   .2368296    .425691     0.56   0.579    -.6047324    1.078392
          yearFE37 |   .2367993   .4269698     0.55   0.580    -.6072908    1.080889
          yearFE38 |   .3080406   .4168058     0.74   0.461    -.5159559    1.132037
          yearFE39 |    .310192   .4153793     0.75   0.456    -.5109843    1.131368
          yearFE40 |    .362397   .4158524     0.87   0.385    -.4597148    1.184509
          yearFE41 |   .2996002   .3931123     0.76   0.447     -.477556    1.076756
          yearFE42 |   .1288408    .377376     0.34   0.733    -.6172057    .8748874
          yearFE43 |   .0402856   .3659964     0.11   0.913    -.6832641    .7638354
          yearFE44 |  -.1105739   .3463514    -0.32   0.750     -.795287    .5741391
          yearFE45 |  -.1482929   .3685547    -0.40   0.688    -.8769003    .5803144
          yearFE46 |   -.129776   .3401759    -0.38   0.703    -.8022805    .5427285
          yearFE47 |  -.4506096   .3219384    -1.40   0.164     -1.08706    .1858405
          yearFE48 |  -.4675686   .3231687    -1.45   0.150    -1.106451    .1713138
          yearFE49 |  -.6733415   .3283776    -2.05   0.042    -1.322521   -.0241615
          yearFE50 |  -.7983824   .3082762    -2.59   0.011    -1.407823   -.1889415
          yearFE51 |   -.982206   .2885963    -3.40   0.001    -1.552741   -.4116708
          yearFE52 |  -.9226821   .2823363    -3.27   0.001    -1.480842   -.3645225
          yearFE53 |  -.9430251   .2731983    -3.45   0.001    -1.483119   -.4029308
          yearFE54 |  -.6722421   .2577652    -2.61   0.010    -1.181826   -.1626579
          yearFE55 |  -.7162636   .2501066    -2.86   0.005    -1.210707   -.2218199
          yearFE56 |  -.6126666   .2401107    -2.55   0.012    -1.087349   -.1379842
          yearFE57 |  -.3692088   .2292894    -1.61   0.110    -.8224982    .0840805
          yearFE58 |  -.3665664   .2184384    -1.68   0.096    -.7984041    .0652713
          yearFE59 |  -.3540642   .2164304    -1.64   0.104    -.7819323    .0738038
          yearFE60 |  -.2211667   .1988624    -1.11   0.268    -.6143039    .1719706
          yearFE61 |  -.0693154   .1769943    -0.39   0.696     -.419221    .2805902
          yearFE62 |  -.1655032   .1600648    -1.03   0.303    -.4819404    .1509341
          yearFE63 |   .0182779   .1478691     0.12   0.902    -.2740492     .310605
          yearFE64 |   .1068411   .1348847     0.79   0.430    -.1598167    .3734989
          yearFE65 |   .0892761   .1227094     0.73   0.468    -.1533119    .3318641
          yearFE66 |   .1154653   .1065259     1.08   0.280    -.0951291    .3260596
          yearFE67 |   .1188248   .0873454     1.36   0.176     -.053851    .2915006
          yearFE68 |   .1946805   .0886061     2.20   0.030     .0195123    .3698486
          yearFE69 |   .0167044   .0574181     0.29   0.772    -.0968071     .130216
          yearFE70 |          0  (omitted)
             _cons |  -25.77835   8.105276    -3.18   0.002    -41.80192   -9.754769
-------------------+----------------------------------------------------------------
           sigma_u |  3.3405771
           sigma_e |    1.23362
               rho |  .87999483   (fraction of variance due to u_i)
------------------------------------------------------------------------------------

.                                 est store control1

.                                 estadd local Dependent "US aid"

added macro:
          e(Dependent) : "US aid"

.                         xtreg lnODAnetdis_USA    votedallwithUSA unscall_pastunga votednotallwithUSA unscnotallXpastunga past_
> unga              l_lngdppcconst lnpop war odarec trade fdiin domcredit    yearFE*  if oda == 1 & p5 == 0, fe cluster(countryi
> d) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      4,592
Group variable: countryid                       Number of groups  =        142

R-sq:                                           Obs per group:
     within  = 0.2022                                         min =          5
     between = 0.3283                                         avg =       32.3
     overall = 0.2538                                         max =         51

                                                F(62,141)         =       7.43
corr(u_i, Xb)  = -0.9267                        Prob > F          =     0.0000

                                   (Std. Err. adjusted for 142 clusters in countryid)
-------------------------------------------------------------------------------------
                    |               Robust
    lnODAnetdis_USA |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
    votedallwithUSA |  -.3395805   .2508292    -1.35   0.178    -.8354527    .1562917
   unscall_pastunga |   2.035384   .9013477     2.26   0.025     .2534818    3.817287
 votednotallwithUSA |  -.3113855   .3000851    -1.04   0.301    -.9046331    .2818621
unscnotallXpastunga |    1.32295    1.21111     1.09   0.277    -1.071332    3.717233
       past_ungaUSA |   2.402297   1.175399     2.04   0.043      .078613    4.725981
     l_lngdppcconst |  -.3518147    .225453    -1.56   0.121    -.7975198    .0938904
              lnpop |   2.223342   .4908815     4.53   0.000     1.252903    3.193781
                war |   .1322887   .2062124     0.64   0.522    -.2753792    .5399565
             odarec |   .0406038   .0096016     4.23   0.000     .0216222    .0595855
              trade |   .0009964   .0021948     0.45   0.651    -.0033426    .0053353
              fdiin |  -.0032243   .0076718    -0.42   0.675     -.018391    .0119424
          domcredit |  -.0055276   .0056259    -0.98   0.328    -.0166495    .0055943
            yearFE1 |          0  (omitted)
            yearFE2 |          0  (omitted)
            yearFE3 |          0  (omitted)
            yearFE4 |          0  (omitted)
            yearFE5 |          0  (omitted)
            yearFE6 |          0  (omitted)
            yearFE7 |          0  (omitted)
            yearFE8 |          0  (omitted)
            yearFE9 |          0  (omitted)
           yearFE10 |          0  (omitted)
           yearFE11 |          0  (omitted)
           yearFE12 |          0  (omitted)
           yearFE13 |          0  (omitted)
           yearFE14 |          0  (omitted)
           yearFE15 |          0  (omitted)
           yearFE16 |   1.535156   .9337337     1.64   0.102    -.3107718    3.381084
           yearFE17 |   1.644983   .8206255     2.00   0.047      .022663    3.267304
           yearFE18 |   1.529754   .8407385     1.82   0.071    -.1323284    3.191836
           yearFE19 |   1.242402    .814415     1.53   0.129    -.3676404    2.852445
           yearFE20 |   1.468386   .7480039     1.96   0.052    -.0103662    2.947139
           yearFE21 |          0  (omitted)
           yearFE22 |          0  (omitted)
           yearFE23 |          0  (omitted)
           yearFE24 |          0  (omitted)
           yearFE25 |   .5996341   .6357136     0.94   0.347    -.6571282    1.856396
           yearFE26 |    .616822   .6128261     1.01   0.316    -.5946933    1.828337
           yearFE27 |   .4626948   .6023786     0.77   0.444    -.7281664    1.653556
           yearFE28 |   .1295544    .587083     0.22   0.826    -1.031068    1.290177
           yearFE29 |   .0815919   .5647356     0.14   0.885    -1.034852    1.198035
           yearFE30 |   .1783647   .5597023     0.32   0.750    -.9281285    1.284858
           yearFE31 |   .0908263   .5217748     0.17   0.862    -.9406867    1.122339
           yearFE32 |   .1597731    .523082     0.31   0.760    -.8743241     1.19387
           yearFE33 |   .1628551   .4867953     0.33   0.738    -.7995059    1.125216
           yearFE34 |   .2440798   .4816439     0.51   0.613    -.7080972    1.196257
           yearFE35 |   .1920551   .4824653     0.40   0.691    -.7617456    1.145856
           yearFE36 |      .1543   .4699301     0.33   0.743    -.7747197     1.08332
           yearFE37 |   .1880493   .4685637     0.40   0.689     -.738269    1.114368
           yearFE38 |   .3366453   .4383368     0.77   0.444    -.5299165    1.203207
           yearFE39 |   .4744837   .4266543     1.11   0.268    -.3689825     1.31795
           yearFE40 |   .6132123   .4234752     1.45   0.150    -.2239691    1.450394
           yearFE41 |   .6145703   .3931222     1.56   0.120    -.1626054    1.391746
           yearFE42 |   .4406415   .3889581     1.13   0.259     -.328302    1.209585
           yearFE43 |   .3229697   .3692911     0.87   0.383    -.4070935    1.053033
           yearFE44 |   .1777827   .3519752     0.51   0.614    -.5180481    .8736135
           yearFE45 |   .1646376   .3729901     0.44   0.660    -.5727383    .9020135
           yearFE46 |   .1776296   .3511609     0.51   0.614    -.5165915    .8718507
           yearFE47 |  -.0581373   .3341342    -0.17   0.862    -.7186977     .602423
           yearFE48 |  -.1144396   .3307215    -0.35   0.730    -.7682533    .5393741
           yearFE49 |  -.4598885   .3342894    -1.38   0.171    -1.120756    .2009788
           yearFE50 |  -.6590116   .3051644    -2.16   0.033    -1.262301   -.0557224
           yearFE51 |  -.9833964   .2732863    -3.60   0.000    -1.523665   -.4431281
           yearFE52 |  -.9434154   .2648649    -3.56   0.001    -1.467035   -.4197957
           yearFE53 |  -1.036514   .2593352    -4.00   0.000    -1.549202    -.523826
           yearFE54 |   -.805512   .2536236    -3.18   0.002    -1.306909   -.3041154
           yearFE55 |  -.7702733   .2450521    -3.14   0.002    -1.254724   -.2858221
           yearFE56 |  -.6794452    .234052    -2.90   0.004     -1.14215   -.2167404
           yearFE57 |  -.4169283   .2189397    -1.90   0.059     -.849757    .0159005
           yearFE58 |  -.3609197   .2069849    -1.74   0.083    -.7701147    .0482753
           yearFE59 |  -.3328155   .2021993    -1.65   0.102    -.7325498    .0669187
           yearFE60 |  -.1576757   .1870307    -0.84   0.401    -.5274226    .2120712
           yearFE61 |   .0319148   .1739696     0.18   0.855    -.3120112    .3758409
           yearFE62 |  -.0047052   .1637012    -0.03   0.977    -.3283313    .3189208
           yearFE63 |   .2057874   .1616957     1.27   0.205    -.1138739    .5254487
           yearFE64 |   .3171418   .1695011     1.87   0.063    -.0179501    .6522338
           yearFE65 |   .3024427   .1623708     1.86   0.065    -.0185531    .6234386
           yearFE66 |   .3067904   .1356604     2.26   0.025      .038599    .5749818
           yearFE67 |   .2906656   .1112068     2.61   0.010     .0708173    .5105138
           yearFE68 |   .2766676   .0983726     2.81   0.006     .0821918    .4711434
           yearFE69 |   .0333057   .0578266     0.58   0.566    -.0810135    .1476248
           yearFE70 |          0  (omitted)
              _cons |   -30.0426   8.441701    -3.56   0.001    -46.73126   -13.35393
--------------------+----------------------------------------------------------------
            sigma_u |  3.5605495
            sigma_e |  1.1640528
                rho |  .90343732   (fraction of variance due to u_i)
-------------------------------------------------------------------------------------

.                                 est store control2

.                                 estadd local Dependent "US aid" 

added macro:
          e(Dependent) : "US aid"

.                                         xtreg lnODAnetdis_USA    c.votedallwithUSA##c.past_unga c.votednotallwithUSA##c.past_u
> nga               l_lngdppcconst lnpop war odarec trade fdiin domcredit    yearFE*  if oda == 1 & p5 == 0, fe cluster(countryi
> d) 
note: past_ungaUSA omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      4,592
Group variable: countryid                       Number of groups  =        142

R-sq:                                           Obs per group:
     within  = 0.2022                                         min =          5
     between = 0.3283                                         avg =       32.3
     overall = 0.2538                                         max =         51

                                                F(62,141)         =       7.43
corr(u_i, Xb)  = -0.9267                        Prob > F          =     0.0000

                                                   (Std. Err. adjusted for 142 clusters in countryid)
-----------------------------------------------------------------------------------------------------
                                    |               Robust
                    lnODAnetdis_USA |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------------------------+----------------------------------------------------------------
                    votedallwithUSA |  -.3395805   .2508292    -1.35   0.178    -.8354527    .1562917
                       past_ungaUSA |   2.402297   1.175399     2.04   0.043      .078613    4.725981
                                    |
   c.votedallwithUSA#c.past_ungaUSA |   2.035384   .9013477     2.26   0.025     .2534818    3.817287
                                    |
                 votednotallwithUSA |  -.3113855   .3000851    -1.04   0.301    -.9046331    .2818621
                       past_ungaUSA |          0  (omitted)
                                    |
c.votednotallwithUSA#c.past_ungaUSA |    1.32295    1.21111     1.09   0.277    -1.071332    3.717233
                                    |
                     l_lngdppcconst |  -.3518147    .225453    -1.56   0.121    -.7975198    .0938904
                              lnpop |   2.223342   .4908815     4.53   0.000     1.252903    3.193781
                                war |   .1322887   .2062124     0.64   0.522    -.2753792    .5399565
                             odarec |   .0406038   .0096016     4.23   0.000     .0216222    .0595855
                              trade |   .0009964   .0021948     0.45   0.651    -.0033426    .0053353
                              fdiin |  -.0032243   .0076718    -0.42   0.675     -.018391    .0119424
                          domcredit |  -.0055276   .0056259    -0.98   0.328    -.0166495    .0055943
                            yearFE1 |          0  (omitted)
                            yearFE2 |          0  (omitted)
                            yearFE3 |          0  (omitted)
                            yearFE4 |          0  (omitted)
                            yearFE5 |          0  (omitted)
                            yearFE6 |          0  (omitted)
                            yearFE7 |          0  (omitted)
                            yearFE8 |          0  (omitted)
                            yearFE9 |          0  (omitted)
                           yearFE10 |          0  (omitted)
                           yearFE11 |          0  (omitted)
                           yearFE12 |          0  (omitted)
                           yearFE13 |          0  (omitted)
                           yearFE14 |          0  (omitted)
                           yearFE15 |          0  (omitted)
                           yearFE16 |   1.535156   .9337337     1.64   0.102    -.3107718    3.381084
                           yearFE17 |   1.644983   .8206255     2.00   0.047      .022663    3.267304
                           yearFE18 |   1.529754   .8407385     1.82   0.071    -.1323284    3.191836
                           yearFE19 |   1.242402    .814415     1.53   0.129    -.3676404    2.852445
                           yearFE20 |   1.468386   .7480039     1.96   0.052    -.0103662    2.947139
                           yearFE21 |          0  (omitted)
                           yearFE22 |          0  (omitted)
                           yearFE23 |          0  (omitted)
                           yearFE24 |          0  (omitted)
                           yearFE25 |   .5996341   .6357136     0.94   0.347    -.6571282    1.856396
                           yearFE26 |    .616822   .6128261     1.01   0.316    -.5946933    1.828337
                           yearFE27 |   .4626948   .6023786     0.77   0.444    -.7281664    1.653556
                           yearFE28 |   .1295544    .587083     0.22   0.826    -1.031068    1.290177
                           yearFE29 |   .0815919   .5647356     0.14   0.885    -1.034852    1.198035
                           yearFE30 |   .1783647   .5597023     0.32   0.750    -.9281285    1.284858
                           yearFE31 |   .0908263   .5217748     0.17   0.862    -.9406867    1.122339
                           yearFE32 |   .1597731    .523082     0.31   0.760    -.8743241     1.19387
                           yearFE33 |   .1628551   .4867953     0.33   0.738    -.7995059    1.125216
                           yearFE34 |   .2440798   .4816439     0.51   0.613    -.7080972    1.196257
                           yearFE35 |   .1920551   .4824653     0.40   0.691    -.7617456    1.145856
                           yearFE36 |      .1543   .4699301     0.33   0.743    -.7747197     1.08332
                           yearFE37 |   .1880493   .4685637     0.40   0.689     -.738269    1.114368
                           yearFE38 |   .3366453   .4383368     0.77   0.444    -.5299165    1.203207
                           yearFE39 |   .4744837   .4266543     1.11   0.268    -.3689825     1.31795
                           yearFE40 |   .6132123   .4234752     1.45   0.150    -.2239691    1.450394
                           yearFE41 |   .6145703   .3931222     1.56   0.120    -.1626054    1.391746
                           yearFE42 |   .4406415   .3889581     1.13   0.259     -.328302    1.209585
                           yearFE43 |   .3229697   .3692911     0.87   0.383    -.4070935    1.053033
                           yearFE44 |   .1777827   .3519752     0.51   0.614    -.5180481    .8736135
                           yearFE45 |   .1646376   .3729901     0.44   0.660    -.5727383    .9020135
                           yearFE46 |   .1776296   .3511609     0.51   0.614    -.5165915    .8718507
                           yearFE47 |  -.0581373   .3341342    -0.17   0.862    -.7186977     .602423
                           yearFE48 |  -.1144396   .3307215    -0.35   0.730    -.7682533    .5393741
                           yearFE49 |  -.4598885   .3342894    -1.38   0.171    -1.120756    .2009788
                           yearFE50 |  -.6590116   .3051644    -2.16   0.033    -1.262301   -.0557224
                           yearFE51 |  -.9833964   .2732863    -3.60   0.000    -1.523665   -.4431281
                           yearFE52 |  -.9434154   .2648649    -3.56   0.001    -1.467035   -.4197957
                           yearFE53 |  -1.036514   .2593352    -4.00   0.000    -1.549202    -.523826
                           yearFE54 |   -.805512   .2536236    -3.18   0.002    -1.306909   -.3041154
                           yearFE55 |  -.7702733   .2450521    -3.14   0.002    -1.254724   -.2858221
                           yearFE56 |  -.6794452    .234052    -2.90   0.004     -1.14215   -.2167404
                           yearFE57 |  -.4169283   .2189397    -1.90   0.059     -.849757    .0159005
                           yearFE58 |  -.3609197   .2069849    -1.74   0.083    -.7701147    .0482753
                           yearFE59 |  -.3328155   .2021993    -1.65   0.102    -.7325498    .0669187
                           yearFE60 |  -.1576757   .1870307    -0.84   0.401    -.5274226    .2120712
                           yearFE61 |   .0319148   .1739696     0.18   0.855    -.3120112    .3758409
                           yearFE62 |  -.0047052   .1637012    -0.03   0.977    -.3283313    .3189208
                           yearFE63 |   .2057874   .1616957     1.27   0.205    -.1138739    .5254487
                           yearFE64 |   .3171418   .1695011     1.87   0.063    -.0179501    .6522338
                           yearFE65 |   .3024427   .1623708     1.86   0.065    -.0185531    .6234386
                           yearFE66 |   .3067904   .1356604     2.26   0.025      .038599    .5749818
                           yearFE67 |   .2906656   .1112068     2.61   0.010     .0708173    .5105138
                           yearFE68 |   .2766676   .0983726     2.81   0.006     .0821918    .4711434
                           yearFE69 |   .0333057   .0578266     0.58   0.566    -.0810135    .1476248
                           yearFE70 |          0  (omitted)
                              _cons |   -30.0426   8.441701    -3.56   0.001    -46.73126   -13.35393
------------------------------------+----------------------------------------------------------------
                            sigma_u |  3.5605495
                            sigma_e |  1.1640528
                                rho |  .90343732   (fraction of variance due to u_i)
-----------------------------------------------------------------------------------------------------

.                                         margins, dydx(votedallwithUSA) at(past_unga = (0 (0.05) 1))

Average marginal effects                        Number of obs     =      4,592
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : votedallwithUSA

1._at        : past_ungaUSA    =           0

2._at        : past_ungaUSA    =         .05

3._at        : past_ungaUSA    =          .1

4._at        : past_ungaUSA    =         .15

5._at        : past_ungaUSA    =          .2

6._at        : past_ungaUSA    =         .25

7._at        : past_ungaUSA    =          .3

8._at        : past_ungaUSA    =         .35

9._at        : past_ungaUSA    =          .4

10._at       : past_ungaUSA    =         .45

11._at       : past_ungaUSA    =          .5

12._at       : past_ungaUSA    =         .55

13._at       : past_ungaUSA    =          .6

14._at       : past_ungaUSA    =         .65

15._at       : past_ungaUSA    =          .7

16._at       : past_ungaUSA    =         .75

17._at       : past_ungaUSA    =          .8

18._at       : past_ungaUSA    =         .85

19._at       : past_ungaUSA    =          .9

20._at       : past_ungaUSA    =         .95

21._at       : past_ungaUSA    =           1

---------------------------------------------------------------------------------
                |            Delta-method
                |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
votedallwithUSA |
            _at |
             1  |  -.3395805   .2508292    -1.35   0.176    -.8311968    .1520357
             2  |  -.2378113   .2125706    -1.12   0.263     -.654442    .1788194
             3  |  -.1360421   .1775369    -0.77   0.444    -.4840081    .2119239
             4  |  -.0342728   .1480358    -0.23   0.817    -.3244177     .255872
             5  |   .0674964    .127953     0.53   0.598     -.183287    .3182797
             6  |   .1692656   .1220307     1.39   0.165    -.0699102    .4084414
             7  |   .2710348   .1321861     2.05   0.040     .0119549    .5301147
             8  |    .372804   .1552963     2.40   0.016     .0684289    .6771792
             9  |   .4745733   .1866089     2.54   0.011     .1088266      .84032
            10  |   .5763424   .2226902     2.59   0.010     .1398776    1.012807
            11  |   .6781117   .2615744     2.59   0.010     .1654353    1.190788
            12  |   .7798809   .3021812     2.58   0.010     .1876166    1.372145
            13  |   .8816502   .3439011     2.56   0.010     .2076163    1.555684
            14  |   .9834193   .3863736     2.55   0.011     .2261409    1.740698
            15  |   1.085189   .4293755     2.53   0.011      .243628    1.926749
            16  |   1.186958   .4727624     2.51   0.012     .2603606    2.113555
            17  |   1.288727   .5164371     2.50   0.013     .2765289    2.300925
            18  |   1.390496   .5603325     2.48   0.013     .2922648    2.488728
            19  |   1.492265   .6044003     2.47   0.014     .3076625    2.676868
            20  |   1.594035   .6486056     2.46   0.014      .322791    2.865278
            21  |   1.695804    .692922     2.45   0.014     .3377018    3.053906
---------------------------------------------------------------------------------

.                                         marginsplot, level(95) title(" ", color(black) size(medium)) xtitle("Allied" "(politic
> al proximity to US in previous period)") ytitle("Effect of UNSC, all with US") legend(off) graphregion(color(white)) bgcolor(w
> hite)  ///
>                                                 ylabel(-3 (1) 3 , nogrid angle(0) axis(1))  yscale(range(-3 3) axis(1)) xscale
> (range(0 1)) xlabel(0 (0.2) 1) plotopts(msize(small) mcolor(black) lcolor(black)) ciopts(lwidth(thin) lcolor(black)) yline(0, 
> lcolor(maroon)) ///
>                                                 addplot(hist past_unga if e(sample) , below color("252 205 85") fcolor(none)  
> yaxis(2) ylabel(0 (2) 6, axis(2) angle(0)) yscale(alt range(0 8) axis(2) ))  

  Variables that uniquely identify margins: past_ungaUSA

.                                                                 graph export "graphs/FigureA8_1.png", replace   
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/FigureA8_1.png written in PNG format)

.                                                                 
.                         
.                         xtreg IMFcommitments_lny   votedallwithUSA  votednotallwithUSA          l_lngdppcconst lnpop pastIMF w
> ar odarec trade fdiin domcredit  yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,058
Group variable: countryid                       Number of groups  =        142

R-sq:                                           Obs per group:
     within  = 0.1306                                         min =          6
     between = 0.1798                                         avg =       35.6
     overall = 0.1274                                         max =         54

                                                F(63,141)         =       9.65
corr(u_i, Xb)  = -0.1694                        Prob > F          =     0.0000

                                  (Std. Err. adjusted for 142 clusters in countryid)
------------------------------------------------------------------------------------
                   |               Robust
IMFcommitments_lny |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
   votedallwithUSA |   .3815243   .1743141     2.19   0.030     .0369173    .7261314
votednotallwithUSA |  -.1860149   .1845908    -1.01   0.315    -.5509382    .1789084
    l_lngdppcconst |  -.0620028    .171285    -0.36   0.718    -.4006214    .2766158
             lnpop |  -.0526627    .422212    -0.12   0.901     -.887347    .7820215
           pastIMF |   1.371714   .1688816     8.12   0.000     1.037847    1.705581
               war |  -.3265348   .2069169    -1.58   0.117    -.7355953    .0825258
            odarec |   .0274837   .0059921     4.59   0.000     .0156376    .0393297
             trade |   .0003161    .001821     0.17   0.862    -.0032838     .003916
             fdiin |  -.0033625   .0053241    -0.63   0.529    -.0138878    .0071629
         domcredit |  -.0084832   .0034702    -2.44   0.016    -.0153436   -.0016227
           yearFE1 |          0  (omitted)
           yearFE2 |          0  (omitted)
           yearFE3 |          0  (omitted)
           yearFE4 |          0  (omitted)
           yearFE5 |          0  (omitted)
           yearFE6 |          0  (omitted)
           yearFE7 |          0  (omitted)
           yearFE8 |          0  (omitted)
           yearFE9 |          0  (omitted)
          yearFE10 |          0  (omitted)
          yearFE11 |          0  (omitted)
          yearFE12 |          0  (omitted)
          yearFE13 |          0  (omitted)
          yearFE14 |          0  (omitted)
          yearFE15 |          0  (omitted)
          yearFE16 |  -.1787906   .6204973    -0.29   0.774    -1.405471     1.04789
          yearFE17 |  -.5911268   .6071417    -0.97   0.332    -1.791404    .6091509
          yearFE18 |  -.6175394    .602801    -1.02   0.307    -1.809236    .5741568
          yearFE19 |  -.5729498   .5906823    -0.97   0.334    -1.740688    .5947886
          yearFE20 |   -.432732   .5911696    -0.73   0.465    -1.601434    .7359699
          yearFE21 |  -.3680314   .5672234    -0.65   0.518    -1.489393    .7533304
          yearFE22 |  -.3766665   .5279876    -0.71   0.477    -1.420462    .6671288
          yearFE23 |  -.3051976    .509096    -0.60   0.550    -1.311646    .7012502
          yearFE24 |  -.5377891   .5114266    -1.05   0.295    -1.548844    .4732662
          yearFE25 |  -.5884703   .5088397    -1.16   0.249    -1.594412    .4174709
          yearFE26 |  -.7991032   .4924468    -1.62   0.107    -1.772637    .1744304
          yearFE27 |   -.568967   .4855787    -1.17   0.243    -1.528923    .3909889
          yearFE28 |  -.7579637   .4714903    -1.61   0.110    -1.690068    .1741403
          yearFE29 |  -.7737551   .4831077    -1.60   0.111    -1.728826    .1813157
          yearFE30 |  -.7742926   .4750988    -1.63   0.105     -1.71353    .1649452
          yearFE31 |  -.6546436   .4602331    -1.42   0.157    -1.564493    .2552058
          yearFE32 |  -.3081908   .4168273    -0.74   0.461     -1.13223    .5158481
          yearFE33 |  -.4937314   .4255585    -1.16   0.248    -1.335031    .3475687
          yearFE34 |  -.1133584   .4301823    -0.26   0.793    -.9637993    .7370824
          yearFE35 |   .3346465   .4281773     0.78   0.436    -.5118307    1.181124
          yearFE36 |   .4207122   .4226401     1.00   0.321    -.4148183    1.256243
          yearFE37 |   .1451108   .3984013     0.36   0.716    -.6425012    .9327228
          yearFE38 |   .8632116   .3873702     2.23   0.027     .0974073    1.629016
          yearFE39 |   .2821392   .3654091     0.77   0.441    -.4402496    1.004528
          yearFE40 |   .2450465   .3936608     0.62   0.535     -.533194    1.023287
          yearFE41 |   .1406706   .3549341     0.40   0.692    -.5610097    .8423509
          yearFE42 |    .242451   .3482438     0.70   0.487    -.4460031    .9309052
          yearFE43 |    .271746   .3665523     0.74   0.460    -.4529028    .9963947
          yearFE44 |    .713589   .3613319     1.97   0.050    -.0007395    1.427918
          yearFE45 |   .2774537   .3283406     0.85   0.400    -.3716532    .9265607
          yearFE46 |   .4468191   .3386978     1.32   0.189    -.2227633    1.116401
          yearFE47 |   .2973173     .32942     0.90   0.368    -.3539235     .948558
          yearFE48 |  -.0018721   .3293801    -0.01   0.995    -.6530341    .6492899
          yearFE49 |   .2296767    .329278     0.70   0.487    -.4212834    .8806368
          yearFE50 |   .4500952   .2957442     1.52   0.130    -.1345709    1.034761
          yearFE51 |    .506744   .2997025     1.69   0.093    -.0857472    1.099235
          yearFE52 |   .5030738   .3301177     1.52   0.130    -.1495464    1.155694
          yearFE53 |   .5656327   .3166949     1.79   0.076    -.0604515    1.191717
          yearFE54 |   .5874373   .2949458     1.99   0.048     .0043497    1.170525
          yearFE55 |   .4853007    .293245     1.65   0.100    -.0944247    1.065026
          yearFE56 |   .4035775   .2942879     1.37   0.172    -.1782095    .9853644
          yearFE57 |   .1722088   .2968975     0.58   0.563    -.4147373    .7591548
          yearFE58 |   .3507377   .2878067     1.22   0.225    -.2182364    .9197119
          yearFE59 |   .2064018    .282851     0.73   0.467    -.3527752    .7655787
          yearFE60 |  -.0760201    .280453    -0.27   0.787    -.6304564    .4784163
          yearFE61 |  -.2416943   .2598786    -0.93   0.354    -.7554565    .2720679
          yearFE62 |  -.3923899   .2613554    -1.50   0.135    -.9090716    .1242919
          yearFE63 |  -.1529354   .2314782    -0.66   0.510     -.610552    .3046812
          yearFE64 |   .3521852   .2675339     1.32   0.190    -.1767111    .8810814
          yearFE65 |   .2163473   .2129181     1.02   0.311    -.2045772    .6372718
          yearFE66 |   .1730075   .2336206     0.74   0.460    -.2888444    .6348594
          yearFE67 |  -.0305389    .212838    -0.14   0.886     -.451305    .3902272
          yearFE68 |  -.1804357   .1483665    -1.22   0.226    -.4737461    .1128748
          yearFE69 |          0  (omitted)
          yearFE70 |          0  (omitted)
             _cons |   1.480372   7.080311     0.21   0.835    -12.51692    15.47766
-------------------+----------------------------------------------------------------
           sigma_u |  .90523862
           sigma_e |  1.7353728
               rho |  .21390293   (fraction of variance due to u_i)
------------------------------------------------------------------------------------

.                                 est store control3

.                                 estadd local Dependent "IMF loans"

added macro:
          e(Dependent) : "IMF loans"

.                         xtreg IMFcommitments_lny    votedallwithUSA unscall_pastunga votednotallwithUSA unscnotallXpastunga pa
> st_unga           l_lngdppcconst lnpop war pastIMF odarec trade fdiin domcredit    yearFE*  if oda == 1 & p5 == 0, fe cluster(
> countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      4,485
Group variable: countryid                       Number of groups  =        142

R-sq:                                           Obs per group:
     within  = 0.1294                                         min =          5
     between = 0.0148                                         avg =       31.6
     overall = 0.0517                                         max =         50

                                                F(62,141)         =      10.29
corr(u_i, Xb)  = -0.4726                        Prob > F          =     0.0000

                                   (Std. Err. adjusted for 142 clusters in countryid)
-------------------------------------------------------------------------------------
                    |               Robust
 IMFcommitments_lny |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
    votedallwithUSA |   .8825456   .3863168     2.28   0.024     .1188239    1.646267
   unscall_pastunga |  -1.706801   .9790908    -1.74   0.083    -3.642396    .2287947
 votednotallwithUSA |   .3625074   .3275784     1.11   0.270    -.2850927    1.010108
unscnotallXpastunga |  -2.776822   1.355951    -2.05   0.042    -5.457444   -.0961987
       past_ungaUSA |  -.4114698   .6788796    -0.61   0.545    -1.753568    .9306287
     l_lngdppcconst |  -.2084072   .2219208    -0.94   0.349    -.6471295    .2303151
              lnpop |  -.2621052   .4985125    -0.53   0.600     -1.24763    .7234199
                war |  -.3652254   .2218911    -1.65   0.102    -.8038889     .073438
            pastIMF |    1.40482   .1866492     7.53   0.000     1.035828    1.773813
             odarec |   .0318924   .0077338     4.12   0.000     .0166033    .0471815
              trade |   .0010165   .0023809     0.43   0.670    -.0036904    .0057233
              fdiin |   -.000526   .0082079    -0.06   0.949    -.0167525    .0157005
          domcredit |  -.0086897   .0040674    -2.14   0.034    -.0167307   -.0006488
            yearFE1 |          0  (omitted)
            yearFE2 |          0  (omitted)
            yearFE3 |          0  (omitted)
            yearFE4 |          0  (omitted)
            yearFE5 |          0  (omitted)
            yearFE6 |          0  (omitted)
            yearFE7 |          0  (omitted)
            yearFE8 |          0  (omitted)
            yearFE9 |          0  (omitted)
           yearFE10 |          0  (omitted)
           yearFE11 |          0  (omitted)
           yearFE12 |          0  (omitted)
           yearFE13 |          0  (omitted)
           yearFE14 |          0  (omitted)
           yearFE15 |          0  (omitted)
           yearFE16 |  -.1786911   .8638828    -0.21   0.836    -1.886528    1.529146
           yearFE17 |  -.7330583   .7835424    -0.94   0.351    -2.282068    .8159515
           yearFE18 |  -.7074098   .7613882    -0.93   0.354    -2.212622    .7978024
           yearFE19 |  -.7460255   .7434631    -1.00   0.317    -2.215801      .72375
           yearFE20 |  -.5758938   .7482662    -0.77   0.443    -2.055165    .9033772
           yearFE21 |          0  (omitted)
           yearFE22 |          0  (omitted)
           yearFE23 |          0  (omitted)
           yearFE24 |          0  (omitted)
           yearFE25 |  -.7165594   .6220449    -1.15   0.251      -1.9463    .5131807
           yearFE26 |  -.9235538   .5976542    -1.55   0.125    -2.105075    .2579675
           yearFE27 |  -.6786771     .59851    -1.13   0.259     -1.86189    .5045362
           yearFE28 |  -.8515832   .5995629    -1.42   0.158    -2.036878    .3337116
           yearFE29 |  -.9148453   .5951295    -1.54   0.126    -2.091376     .261685
           yearFE30 |  -.9509057   .5871628    -1.62   0.108    -2.111686    .2098749
           yearFE31 |  -.7445289   .5594155    -1.33   0.185    -1.850455    .3613972
           yearFE32 |  -.3835706   .5034482    -0.76   0.447    -1.378853    .6117119
           yearFE33 |  -.6423795   .5121145    -1.25   0.212    -1.654795    .3700357
           yearFE34 |  -.2598111   .5151069    -0.50   0.615    -1.278142      .75852
           yearFE35 |   .2193574   .5128234     0.43   0.669    -.7944592    1.233174
           yearFE36 |   .2716547   .5207416     0.52   0.603    -.7578158    1.301125
           yearFE37 |   .0239045   .4832247     0.05   0.961    -.9313976    .9792065
           yearFE38 |   .7381705   .4524341     1.63   0.105    -.1562607    1.632602
           yearFE39 |   .1106298   .4263999     0.26   0.796    -.7323336    .9535931
           yearFE40 |    .054078   .4528057     0.12   0.905    -.8410877    .9492438
           yearFE41 |  -.0907488    .400358    -0.23   0.821    -.8822291    .7007314
           yearFE42 |   .1011322     .38595     0.26   0.794    -.6618644    .8641288
           yearFE43 |   .1282397   .3937935     0.33   0.745     -.650263    .9067424
           yearFE44 |   .5775137   .3849851     1.50   0.136    -.1835754    1.338603
           yearFE45 |   .1387355   .3618938     0.38   0.702    -.5767037    .8541747
           yearFE46 |   .2908511   .3622489     0.80   0.423    -.4252901    1.006992
           yearFE47 |   .1687613   .3586336     0.47   0.639    -.5402327    .8777553
           yearFE48 |  -.2041612   .3503887    -0.58   0.561    -.8968557    .4885334
           yearFE49 |   .0587742   .3565493     0.16   0.869    -.6460993    .7636476
           yearFE50 |   .2541399   .3216835     0.79   0.431    -.3818062    .8900861
           yearFE51 |   .4642544   .3338559     1.39   0.167    -.1957559    1.124265
           yearFE52 |   .4922248   .3669123     1.34   0.182    -.2331357    1.217585
           yearFE53 |   .5659621   .3442219     1.64   0.102     -.114541    1.246465
           yearFE54 |   .6227923   .3297394     1.89   0.061      -.02908    1.274664
           yearFE55 |   .4690682   .3235998     1.45   0.149    -.1706664    1.108803
           yearFE56 |   .4178482   .3131693     1.33   0.184    -.2012661    1.036963
           yearFE57 |   .1533543   .3289077     0.47   0.642    -.4968737    .8035824
           yearFE58 |   .3402355   .3132997     1.09   0.279    -.2791365    .9596075
           yearFE59 |   .1981496   .3033382     0.65   0.515    -.4015292    .7978283
           yearFE60 |  -.1417376   .2962202    -0.48   0.633    -.7273446    .4438694
           yearFE61 |  -.3228204   .2660269    -1.21   0.227    -.8487374    .2030965
           yearFE62 |  -.4842263   .2615887    -1.85   0.066    -1.001369    .0329167
           yearFE63 |   -.230053   .2389986    -0.96   0.337    -.7025368    .2424307
           yearFE64 |   .2879821   .2741963     1.05   0.295    -.2540852    .8300495
           yearFE65 |   .1453231   .2223524     0.65   0.514    -.2942525    .5848986
           yearFE66 |   .1084374   .2380884     0.46   0.649     -.362247    .5791218
           yearFE67 |   -.089142    .216699    -0.41   0.681     -.517541     .339257
           yearFE68 |  -.2043436   .1487763    -1.37   0.172    -.4984642     .089777
           yearFE69 |          0  (omitted)
           yearFE70 |          0  (omitted)
              _cons |   5.964857   8.304054     0.72   0.474    -10.45169     22.3814
--------------------+----------------------------------------------------------------
            sigma_u |  1.2181331
            sigma_e |   1.785155
                rho |  .31769792   (fraction of variance due to u_i)
-------------------------------------------------------------------------------------

.                                         est store control4

.                                         estadd local Dependent "IMF loans" 

added macro:
          e(Dependent) : "IMF loans"

.                                         xtreg IMFcommitments_lny    c.votedallwithUSA##c.past_unga c.votednotallwithUSA##c.pas
> t_unga            l_lngdppcconst lnpop pastIMF war odarec trade fdiin domcredit    yearFE*  if oda == 1 & p5 == 0, fe cluster(
> countryid) 
note: past_ungaUSA omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      4,485
Group variable: countryid                       Number of groups  =        142

R-sq:                                           Obs per group:
     within  = 0.1294                                         min =          5
     between = 0.0148                                         avg =       31.6
     overall = 0.0517                                         max =         50

                                                F(62,141)         =      10.29
corr(u_i, Xb)  = -0.4726                        Prob > F          =     0.0000

                                                   (Std. Err. adjusted for 142 clusters in countryid)
-----------------------------------------------------------------------------------------------------
                                    |               Robust
                 IMFcommitments_lny |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------------------------+----------------------------------------------------------------
                    votedallwithUSA |   .8825456   .3863168     2.28   0.024     .1188239    1.646267
                       past_ungaUSA |  -.4114698   .6788796    -0.61   0.545    -1.753568    .9306287
                                    |
   c.votedallwithUSA#c.past_ungaUSA |  -1.706801   .9790908    -1.74   0.083    -3.642396    .2287947
                                    |
                 votednotallwithUSA |   .3625074   .3275784     1.11   0.270    -.2850927    1.010108
                       past_ungaUSA |          0  (omitted)
                                    |
c.votednotallwithUSA#c.past_ungaUSA |  -2.776822   1.355951    -2.05   0.042    -5.457444   -.0961987
                                    |
                     l_lngdppcconst |  -.2084072   .2219208    -0.94   0.349    -.6471295    .2303151
                              lnpop |  -.2621052   .4985125    -0.53   0.600     -1.24763    .7234199
                            pastIMF |    1.40482   .1866492     7.53   0.000     1.035828    1.773813
                                war |  -.3652254   .2218911    -1.65   0.102    -.8038889     .073438
                             odarec |   .0318924   .0077338     4.12   0.000     .0166033    .0471815
                              trade |   .0010165   .0023809     0.43   0.670    -.0036904    .0057233
                              fdiin |   -.000526   .0082079    -0.06   0.949    -.0167525    .0157005
                          domcredit |  -.0086897   .0040674    -2.14   0.034    -.0167307   -.0006488
                            yearFE1 |          0  (omitted)
                            yearFE2 |          0  (omitted)
                            yearFE3 |          0  (omitted)
                            yearFE4 |          0  (omitted)
                            yearFE5 |          0  (omitted)
                            yearFE6 |          0  (omitted)
                            yearFE7 |          0  (omitted)
                            yearFE8 |          0  (omitted)
                            yearFE9 |          0  (omitted)
                           yearFE10 |          0  (omitted)
                           yearFE11 |          0  (omitted)
                           yearFE12 |          0  (omitted)
                           yearFE13 |          0  (omitted)
                           yearFE14 |          0  (omitted)
                           yearFE15 |          0  (omitted)
                           yearFE16 |  -.1786911   .8638828    -0.21   0.836    -1.886528    1.529146
                           yearFE17 |  -.7330583   .7835424    -0.94   0.351    -2.282068    .8159515
                           yearFE18 |  -.7074098   .7613882    -0.93   0.354    -2.212622    .7978024
                           yearFE19 |  -.7460255   .7434631    -1.00   0.317    -2.215801      .72375
                           yearFE20 |  -.5758938   .7482662    -0.77   0.443    -2.055165    .9033772
                           yearFE21 |          0  (omitted)
                           yearFE22 |          0  (omitted)
                           yearFE23 |          0  (omitted)
                           yearFE24 |          0  (omitted)
                           yearFE25 |  -.7165594   .6220449    -1.15   0.251      -1.9463    .5131807
                           yearFE26 |  -.9235538   .5976542    -1.55   0.125    -2.105075    .2579675
                           yearFE27 |  -.6786771     .59851    -1.13   0.259     -1.86189    .5045362
                           yearFE28 |  -.8515832   .5995629    -1.42   0.158    -2.036878    .3337116
                           yearFE29 |  -.9148453   .5951295    -1.54   0.126    -2.091376     .261685
                           yearFE30 |  -.9509057   .5871628    -1.62   0.108    -2.111686    .2098749
                           yearFE31 |  -.7445289   .5594155    -1.33   0.185    -1.850455    .3613972
                           yearFE32 |  -.3835706   .5034482    -0.76   0.447    -1.378853    .6117119
                           yearFE33 |  -.6423795   .5121145    -1.25   0.212    -1.654795    .3700357
                           yearFE34 |  -.2598111   .5151069    -0.50   0.615    -1.278142      .75852
                           yearFE35 |   .2193574   .5128234     0.43   0.669    -.7944592    1.233174
                           yearFE36 |   .2716547   .5207416     0.52   0.603    -.7578158    1.301125
                           yearFE37 |   .0239045   .4832247     0.05   0.961    -.9313976    .9792065
                           yearFE38 |   .7381705   .4524341     1.63   0.105    -.1562607    1.632602
                           yearFE39 |   .1106298   .4263999     0.26   0.796    -.7323336    .9535931
                           yearFE40 |    .054078   .4528057     0.12   0.905    -.8410877    .9492438
                           yearFE41 |  -.0907488    .400358    -0.23   0.821    -.8822291    .7007314
                           yearFE42 |   .1011322     .38595     0.26   0.794    -.6618644    .8641288
                           yearFE43 |   .1282397   .3937935     0.33   0.745     -.650263    .9067424
                           yearFE44 |   .5775137   .3849851     1.50   0.136    -.1835754    1.338603
                           yearFE45 |   .1387355   .3618938     0.38   0.702    -.5767037    .8541747
                           yearFE46 |   .2908511   .3622489     0.80   0.423    -.4252901    1.006992
                           yearFE47 |   .1687613   .3586336     0.47   0.639    -.5402327    .8777553
                           yearFE48 |  -.2041612   .3503887    -0.58   0.561    -.8968557    .4885334
                           yearFE49 |   .0587742   .3565493     0.16   0.869    -.6460993    .7636476
                           yearFE50 |   .2541399   .3216835     0.79   0.431    -.3818062    .8900861
                           yearFE51 |   .4642544   .3338559     1.39   0.167    -.1957559    1.124265
                           yearFE52 |   .4922248   .3669123     1.34   0.182    -.2331357    1.217585
                           yearFE53 |   .5659621   .3442219     1.64   0.102     -.114541    1.246465
                           yearFE54 |   .6227923   .3297394     1.89   0.061      -.02908    1.274664
                           yearFE55 |   .4690682   .3235998     1.45   0.149    -.1706664    1.108803
                           yearFE56 |   .4178482   .3131693     1.33   0.184    -.2012661    1.036963
                           yearFE57 |   .1533543   .3289077     0.47   0.642    -.4968737    .8035824
                           yearFE58 |   .3402355   .3132997     1.09   0.279    -.2791365    .9596075
                           yearFE59 |   .1981496   .3033382     0.65   0.515    -.4015292    .7978283
                           yearFE60 |  -.1417376   .2962202    -0.48   0.633    -.7273446    .4438694
                           yearFE61 |  -.3228204   .2660269    -1.21   0.227    -.8487374    .2030965
                           yearFE62 |  -.4842263   .2615887    -1.85   0.066    -1.001369    .0329167
                           yearFE63 |   -.230053   .2389986    -0.96   0.337    -.7025368    .2424307
                           yearFE64 |   .2879821   .2741963     1.05   0.295    -.2540852    .8300495
                           yearFE65 |   .1453231   .2223524     0.65   0.514    -.2942525    .5848986
                           yearFE66 |   .1084374   .2380884     0.46   0.649     -.362247    .5791218
                           yearFE67 |   -.089142    .216699    -0.41   0.681     -.517541     .339257
                           yearFE68 |  -.2043436   .1487763    -1.37   0.172    -.4984642     .089777
                           yearFE69 |          0  (omitted)
                           yearFE70 |          0  (omitted)
                              _cons |   5.964857   8.304054     0.72   0.474    -10.45169     22.3814
------------------------------------+----------------------------------------------------------------
                            sigma_u |  1.2181331
                            sigma_e |   1.785155
                                rho |  .31769792   (fraction of variance due to u_i)
-----------------------------------------------------------------------------------------------------

.                                         margins, dydx(votedallwithUSA) at(past_unga = (0 (0.05) 1))

Average marginal effects                        Number of obs     =      4,485
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : votedallwithUSA

1._at        : past_ungaUSA    =           0

2._at        : past_ungaUSA    =         .05

3._at        : past_ungaUSA    =          .1

4._at        : past_ungaUSA    =         .15

5._at        : past_ungaUSA    =          .2

6._at        : past_ungaUSA    =         .25

7._at        : past_ungaUSA    =          .3

8._at        : past_ungaUSA    =         .35

9._at        : past_ungaUSA    =          .4

10._at       : past_ungaUSA    =         .45

11._at       : past_ungaUSA    =          .5

12._at       : past_ungaUSA    =         .55

13._at       : past_ungaUSA    =          .6

14._at       : past_ungaUSA    =         .65

15._at       : past_ungaUSA    =          .7

16._at       : past_ungaUSA    =         .75

17._at       : past_ungaUSA    =          .8

18._at       : past_ungaUSA    =         .85

19._at       : past_ungaUSA    =          .9

20._at       : past_ungaUSA    =         .95

21._at       : past_ungaUSA    =           1

---------------------------------------------------------------------------------
                |            Delta-method
                |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
votedallwithUSA |
            _at |
             1  |   .8825456   .3863168     2.28   0.022     .1253787    1.639713
             2  |   .7972056   .3436093     2.32   0.020     .1237438    1.470667
             3  |   .7118656   .3027988     2.35   0.019     .1183908     1.30534
             4  |   .6265255    .264764     2.37   0.018     .1075976    1.145453
             5  |   .5411855   .2308808     2.34   0.019     .0886673    .9937036
             6  |   .4558454   .2032364     2.24   0.025     .0575094    .8541814
             7  |   .3705054   .1846542     2.01   0.045     .0085897     .732421
             8  |   .2851654   .1779956     1.60   0.109    -.0636997    .6340304
             9  |   .1998253   .1845557     1.08   0.279    -.1618972    .5615478
            10  |   .1144853   .2030572     0.56   0.573    -.2834996    .5124702
            11  |   .0291452   .2306443     0.13   0.899    -.4229092    .4811997
            12  |  -.0561948    .264489    -0.21   0.832    -.5745837     .462194
            13  |  -.1415349   .3024982    -0.47   0.640    -.7344204    .4513507
            14  |  -.2268748   .3432913    -0.66   0.509    -.8997135    .4459638
            15  |  -.3122149   .3859869    -0.81   0.419    -1.068735    .4443055
            16  |  -.3975549   .4300185    -0.92   0.355    -1.240376    .4452658
            17  |   -.482895   .4750147    -1.02   0.309    -1.413907    .4481168
            18  |  -.5682351   .5207257    -1.09   0.275    -1.588839    .4523685
            19  |   -.653575   .5669784    -1.15   0.249    -1.764832    .4576821
            20  |  -.7389151   .6136504    -1.20   0.229    -1.941648    .4638177
            21  |  -.8242551    .660653    -1.25   0.212    -2.119111    .4706009
---------------------------------------------------------------------------------

.                                         marginsplot, level(95) title(" ", color(black) size(medium)) xtitle("Allied" "(politic
> al proximity to US in previous period)") ytitle("Effect of UNSC, all with US") legend(off) graphregion(color(white)) bgcolor(w
> hite)  ///
>                                                 ylabel(-3 (1) 3 , nogrid angle(0) axis(1))  yscale(range(-3 3) axis(1)) xscale
> (range(0 1)) xlabel(0 (0.2) 1) plotopts(msize(small) mcolor(black) lcolor(black)) ciopts(lwidth(thin) lcolor(black)) yline(0, 
> lcolor(maroon)) ///
>                                                 addplot(hist past_unga if e(sample) , below color("252 205 85") fcolor(none)  
> yaxis(2) ylabel(0 (2) 6, axis(2) angle(0)) yscale(alt range(0 8) axis(2) ))  

  Variables that uniquely identify margins: past_ungaUSA

.                                                                 graph export "graphs/FigureA8_2.png", replace   
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/FigureA8_2.png written in PNG format)

.                                                                 
.                                 
.                         xtreg lnWBlend   votedallwithUSA  votednotallwithUSA            l_lngdppcconst lnpop war odarec trade 
> fdiin domcredit  yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      4,837
Group variable: countryid                       Number of groups  =        142

R-sq:                                           Obs per group:
     within  = 0.1041                                         min =          6
     between = 0.2438                                         avg =       34.1
     overall = 0.1675                                         max =         48

                                                F(56,141)         =      10.97
corr(u_i, Xb)  = 0.1869                         Prob > F          =     0.0000

                                  (Std. Err. adjusted for 142 clusters in countryid)
------------------------------------------------------------------------------------
                   |               Robust
          lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
   votedallwithUSA |   .3503811   .1493472     2.35   0.020      .055132    .6456302
votednotallwithUSA |    .129355   .1139383     1.14   0.258    -.0958933    .3546032
    l_lngdppcconst |  -.1248727   .2229251    -0.56   0.576    -.5655803    .3158349
             lnpop |   .1469069   .5068419     0.29   0.772    -.8550847    1.148898
               war |  -.6559772   .1968274    -3.33   0.001    -1.045092    -.266863
            odarec |   .0222152   .0066179     3.36   0.001      .009132    .0352985
             trade |  -.0008391   .0026739    -0.31   0.754    -.0061252     .004447
             fdiin |   .0110512   .0074286     1.49   0.139    -.0036345     .025737
         domcredit |  -.0063772   .0041798    -1.53   0.129    -.0146403    .0018859
           yearFE1 |          0  (omitted)
           yearFE2 |          0  (omitted)
           yearFE3 |          0  (omitted)
           yearFE4 |          0  (omitted)
           yearFE5 |          0  (omitted)
           yearFE6 |          0  (omitted)
           yearFE7 |          0  (omitted)
           yearFE8 |          0  (omitted)
           yearFE9 |          0  (omitted)
          yearFE10 |          0  (omitted)
          yearFE11 |          0  (omitted)
          yearFE12 |          0  (omitted)
          yearFE13 |          0  (omitted)
          yearFE14 |          0  (omitted)
          yearFE15 |          0  (omitted)
          yearFE16 |          0  (omitted)
          yearFE17 |          0  (omitted)
          yearFE18 |          0  (omitted)
          yearFE19 |          0  (omitted)
          yearFE20 |          0  (omitted)
          yearFE21 |          0  (omitted)
          yearFE22 |          0  (omitted)
          yearFE23 |  -2.794862   .6496568    -4.30   0.000    -4.079189   -1.510535
          yearFE24 |   -2.51718   .6466992    -3.89   0.000     -3.79566     -1.2387
          yearFE25 |  -2.236071   .6308929    -3.54   0.001    -3.483303    -.988839
          yearFE26 |  -2.267387   .6172565    -3.67   0.000    -3.487661   -1.047113
          yearFE27 |  -2.033596   .6220123    -3.27   0.001    -3.263272   -.8039201
          yearFE28 |  -1.556061   .6017377    -2.59   0.011    -2.745655   -.3664664
          yearFE29 |  -1.540177   .5878807    -2.62   0.010    -2.702377   -.3779768
          yearFE30 |  -1.287555   .5514222    -2.33   0.021    -2.377679   -.1974315
          yearFE31 |  -1.117075   .5210276    -2.14   0.034    -2.147111   -.0870388
          yearFE32 |  -1.193828   .4937537    -2.42   0.017    -2.169945   -.2177103
          yearFE33 |  -.9635598   .5090243    -1.89   0.060    -1.969866    .0427463
          yearFE34 |   -.962238   .4627048    -2.08   0.039    -1.876974   -.0475023
          yearFE35 |  -.7625211   .4564861    -1.67   0.097    -1.664963    .1399207
          yearFE36 |  -.8380919   .4088923    -2.05   0.042    -1.646444   -.0297398
          yearFE37 |  -1.016914   .4252165    -2.39   0.018    -1.857538   -.1762898
          yearFE38 |  -.7262302   .4158976    -1.75   0.083    -1.548431    .0959709
          yearFE39 |  -1.088537   .4244553    -2.56   0.011    -1.927656   -.2494182
          yearFE40 |  -.6788268   .3972181    -1.71   0.090      -1.4641    .1064462
          yearFE41 |  -.9368821   .3895073    -2.41   0.017    -1.706911   -.1668529
          yearFE42 |  -.9587186   .4145024    -2.31   0.022    -1.778161   -.1392757
          yearFE43 |  -.7167621   .3939258    -1.82   0.071    -1.495526    .0620021
          yearFE44 |  -.7686367   .3954361    -1.94   0.054    -1.550387    .0131134
          yearFE45 |  -.8225696   .4136673    -1.99   0.049    -1.640362   -.0047776
          yearFE46 |   -.625521   .3972652    -1.57   0.118    -1.410887     .159845
          yearFE47 |   -.956876   .3627736    -2.64   0.009    -1.674055   -.2396975
          yearFE48 |  -.7770388    .366157    -2.12   0.036    -1.500906   -.0531715
          yearFE49 |  -.8531647    .343768    -2.48   0.014     -1.53277   -.1735588
          yearFE50 |  -.9531174   .3702792    -2.57   0.011    -1.685134   -.2211007
          yearFE51 |  -.9879246    .342648    -2.88   0.005    -1.665316   -.3105331
          yearFE52 |  -.9927855   .3280993    -3.03   0.003    -1.641415   -.3441558
          yearFE53 |  -.7373551   .3044488    -2.42   0.017     -1.33923   -.1354807
          yearFE54 |  -1.084769   .2961868    -3.66   0.000     -1.67031    -.499228
          yearFE55 |  -1.123889   .3181682    -3.53   0.001    -1.752886   -.4948924
          yearFE56 |   -.899726   .2998529    -3.00   0.003    -1.492515   -.3069374
          yearFE57 |  -1.029653   .3178739    -3.24   0.001    -1.658068   -.4012385
          yearFE58 |  -1.114267   .2855203    -3.90   0.000    -1.678721   -.5498129
          yearFE59 |  -1.001659   .2563313    -3.91   0.000    -1.508409   -.4949097
          yearFE60 |  -.9335839   .2589208    -3.61   0.000    -1.445453   -.4217152
          yearFE61 |  -.9367371     .23455    -3.99   0.000    -1.400426   -.4730479
          yearFE62 |  -.7132347   .2167825    -3.29   0.001    -1.141799   -.2846706
          yearFE63 |  -.4669782   .2192865    -2.13   0.035    -.9004925   -.0334639
          yearFE64 |  -.2701247   .2409891    -1.12   0.264    -.7465437    .2062942
          yearFE65 |  -.1686478   .2555339    -0.66   0.510    -.6738209    .3365253
          yearFE66 |  -.3869606   .2078815    -1.86   0.065    -.7979282     .024007
          yearFE67 |  -.5595209   .2258793    -2.48   0.014    -1.006069   -.1129731
          yearFE68 |   -.515992   .2051197    -2.52   0.013    -.9214995   -.1104845
          yearFE69 |    .147144   .2272013     0.65   0.518    -.3020174    .5963054
          yearFE70 |          0  (omitted)
             _cons |    2.56381    8.97147     0.29   0.775    -15.17217    20.29979
-------------------+----------------------------------------------------------------
           sigma_u |  1.5496642
           sigma_e |  1.5937396
               rho |  .48598118   (fraction of variance due to u_i)
------------------------------------------------------------------------------------

.                                 est store control5

.                                 estadd local Dependent "WB loans"

added macro:
          e(Dependent) : "WB loans"

.                         xtreg lnWBlend    votedallwithUSA unscall_pastunga votednotallwithUSA unscnotallXpastunga past_unga   
>           l_lngdppcconst lnpop   war odarec trade fdiin domcredit    yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      4,404
Group variable: countryid                       Number of groups  =        142

R-sq:                                           Obs per group:
     within  = 0.0880                                         min =          5
     between = 0.3179                                         avg =       31.0
     overall = 0.1887                                         max =         46

                                                F(57,141)         =      11.12
corr(u_i, Xb)  = 0.2534                         Prob > F          =     0.0000

                                   (Std. Err. adjusted for 142 clusters in countryid)
-------------------------------------------------------------------------------------
                    |               Robust
           lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
    votedallwithUSA |   .9178557   .3147017     2.92   0.004      .295712    1.539999
   unscall_pastunga |  -2.117059    1.19107    -1.78   0.078    -4.471724    .2376056
 votednotallwithUSA |  -.0370721   .3771241    -0.10   0.922    -.7826205    .7084764
unscnotallXpastunga |   .9343112   1.566774     0.60   0.552    -2.163093    4.031716
       past_ungaUSA |   1.244054   .7084005     1.76   0.081    -.1564048    2.644514
     l_lngdppcconst |  -.1320143   .2387542    -0.55   0.581     -.604015    .3399864
              lnpop |   .1605352   .5608332     0.29   0.775    -.9481935    1.269264
                war |   -.639161   .1940226    -3.29   0.001     -1.02273   -.2555915
             odarec |    .024855   .0079133     3.14   0.002      .009211     .040499
              trade |  -.0011155   .0033555    -0.33   0.740     -.007749     .005518
              fdiin |   .0208333   .0082524     2.52   0.013     .0045189    .0371478
          domcredit |  -.0048506   .0042344    -1.15   0.254    -.0132217    .0035206
            yearFE1 |          0  (omitted)
            yearFE2 |          0  (omitted)
            yearFE3 |          0  (omitted)
            yearFE4 |          0  (omitted)
            yearFE5 |          0  (omitted)
            yearFE6 |          0  (omitted)
            yearFE7 |          0  (omitted)
            yearFE8 |          0  (omitted)
            yearFE9 |          0  (omitted)
           yearFE10 |          0  (omitted)
           yearFE11 |          0  (omitted)
           yearFE12 |          0  (omitted)
           yearFE13 |          0  (omitted)
           yearFE14 |          0  (omitted)
           yearFE15 |          0  (omitted)
           yearFE16 |          0  (omitted)
           yearFE17 |          0  (omitted)
           yearFE18 |          0  (omitted)
           yearFE19 |          0  (omitted)
           yearFE20 |          0  (omitted)
           yearFE21 |          0  (omitted)
           yearFE22 |          0  (omitted)
           yearFE23 |          0  (omitted)
           yearFE24 |          0  (omitted)
           yearFE25 |  -2.436666    .723431    -3.37   0.001    -3.866839   -1.006493
           yearFE26 |  -2.501651    .703378    -3.56   0.001    -3.892181   -1.111121
           yearFE27 |  -2.265259   .7102354    -3.19   0.002    -3.669345   -.8611719
           yearFE28 |  -1.796611   .6948895    -2.59   0.011     -3.17036   -.4228621
           yearFE29 |  -1.798182    .679636    -2.65   0.009    -3.141776    -.454588
           yearFE30 |  -1.480391   .6308136    -2.35   0.020    -2.727466   -.2333161
           yearFE31 |  -1.301851   .6025193    -2.16   0.032     -2.49299   -.1107115
           yearFE32 |  -1.334022   .5587348    -2.39   0.018    -2.438602   -.2294416
           yearFE33 |  -1.027215   .5719539    -1.80   0.075    -2.157928    .1034989
           yearFE34 |  -.9628664   .5187361    -1.86   0.066    -1.988372    .0626393
           yearFE35 |  -.7755979   .5203757    -1.49   0.138    -1.804345    .2531491
           yearFE36 |  -.9357267   .4691324    -1.99   0.048    -1.863169    -.008284
           yearFE37 |  -1.159632    .481383    -2.41   0.017    -2.111293   -.2079709
           yearFE38 |  -.8027728    .470137    -1.71   0.090    -1.732202    .1266558
           yearFE39 |  -1.109924   .4693927    -2.36   0.019    -2.037881   -.1819668
           yearFE40 |  -.5809566   .4346358    -1.34   0.183    -1.440202    .2782886
           yearFE41 |  -.8369216   .4247886    -1.97   0.051      -1.6767    .0028563
           yearFE42 |  -.8488872   .4415969    -1.92   0.057    -1.721894    .0241196
           yearFE43 |  -.5925244   .4221337    -1.40   0.163    -1.427054    .2420051
           yearFE44 |  -.6420634   .4256421    -1.51   0.134    -1.483529    .1994019
           yearFE45 |  -.7074709   .4389216    -1.61   0.109    -1.575189     .160247
           yearFE46 |  -.4992616   .4212587    -1.19   0.238    -1.332061     .333538
           yearFE47 |  -.7898042   .3842299    -2.06   0.042      -1.5494    -.030208
           yearFE48 |  -.6531967   .3878819    -1.68   0.094    -1.420013    .1136192
           yearFE49 |  -.7103853   .3697237    -1.92   0.057    -1.441304    .0205331
           yearFE50 |  -.8337614    .384772    -2.17   0.032    -1.594429   -.0730935
           yearFE51 |  -.9847414   .3595324    -2.74   0.007    -1.695512   -.2739705
           yearFE52 |  -.9849193     .35336    -2.79   0.006    -1.683488   -.2863508
           yearFE53 |  -.7002095   .3320425    -2.11   0.037    -1.356635   -.0437843
           yearFE54 |  -1.139501   .3055021    -3.73   0.000    -1.743458   -.5355444
           yearFE55 |  -1.136984   .3356014    -3.39   0.001    -1.800445   -.4735231
           yearFE56 |  -.9571985   .3108084    -3.08   0.002    -1.571645   -.3427516
           yearFE57 |  -1.032946   .3332455    -3.10   0.002     -1.69175   -.3741427
           yearFE58 |  -1.105927   .2982969    -3.71   0.000     -1.69564   -.5162145
           yearFE59 |  -.9044471   .2567251    -3.52   0.001    -1.411975   -.3969192
           yearFE60 |  -.8285092   .2636115    -3.14   0.002    -1.349651   -.3073674
           yearFE61 |  -.9532002   .2432804    -3.92   0.000    -1.434149   -.4722515
           yearFE62 |  -.6969092   .2240452    -3.11   0.002    -1.139831   -.2539873
           yearFE63 |  -.3705482   .2280646    -1.62   0.106    -.8214163    .0803198
           yearFE64 |  -.1691225   .2433733    -0.69   0.488    -.6502548    .3120097
           yearFE65 |  -.0675415   .2581387    -0.26   0.794     -.577864    .4427809
           yearFE66 |  -.2816798   .2168598    -1.30   0.196    -.7103968    .1470372
           yearFE67 |  -.4998352   .2307174    -2.17   0.032    -.9559477   -.0437227
           yearFE68 |  -.4792937   .2035666    -2.35   0.020     -.881731   -.0768564
           yearFE69 |   .1619115   .2256089     0.72   0.474    -.2841018    .6079248
           yearFE70 |          0  (omitted)
              _cons |   2.111104   9.964951     0.21   0.833    -17.58892    21.81113
--------------------+----------------------------------------------------------------
            sigma_u |  1.5335482
            sigma_e |  1.5989053
                rho |  .47914457   (fraction of variance due to u_i)
-------------------------------------------------------------------------------------

.                                 est store control6

.                                 estadd local Dependent "WB loans" 

added macro:
          e(Dependent) : "WB loans"

.                                         xtreg lnWBlend    c.votedallwithUSA##c.past_unga c.votednotallwithUSA##c.past_unga    
>           l_lngdppcconst lnpop   war odarec trade fdiin domcredit    yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: past_ungaUSA omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      4,404
Group variable: countryid                       Number of groups  =        142

R-sq:                                           Obs per group:
     within  = 0.0880                                         min =          5
     between = 0.3179                                         avg =       31.0
     overall = 0.1887                                         max =         46

                                                F(57,141)         =      11.12
corr(u_i, Xb)  = 0.2534                         Prob > F          =     0.0000

                                                   (Std. Err. adjusted for 142 clusters in countryid)
-----------------------------------------------------------------------------------------------------
                                    |               Robust
                           lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------------------------+----------------------------------------------------------------
                    votedallwithUSA |   .9178557   .3147017     2.92   0.004      .295712    1.539999
                       past_ungaUSA |   1.244054   .7084005     1.76   0.081    -.1564048    2.644514
                                    |
   c.votedallwithUSA#c.past_ungaUSA |  -2.117059    1.19107    -1.78   0.078    -4.471724    .2376056
                                    |
                 votednotallwithUSA |  -.0370721   .3771241    -0.10   0.922    -.7826205    .7084764
                       past_ungaUSA |          0  (omitted)
                                    |
c.votednotallwithUSA#c.past_ungaUSA |   .9343112   1.566774     0.60   0.552    -2.163093    4.031716
                                    |
                     l_lngdppcconst |  -.1320143   .2387542    -0.55   0.581     -.604015    .3399864
                              lnpop |   .1605352   .5608332     0.29   0.775    -.9481935    1.269264
                                war |   -.639161   .1940226    -3.29   0.001     -1.02273   -.2555915
                             odarec |    .024855   .0079133     3.14   0.002      .009211     .040499
                              trade |  -.0011155   .0033555    -0.33   0.740     -.007749     .005518
                              fdiin |   .0208333   .0082524     2.52   0.013     .0045189    .0371478
                          domcredit |  -.0048506   .0042344    -1.15   0.254    -.0132217    .0035206
                            yearFE1 |          0  (omitted)
                            yearFE2 |          0  (omitted)
                            yearFE3 |          0  (omitted)
                            yearFE4 |          0  (omitted)
                            yearFE5 |          0  (omitted)
                            yearFE6 |          0  (omitted)
                            yearFE7 |          0  (omitted)
                            yearFE8 |          0  (omitted)
                            yearFE9 |          0  (omitted)
                           yearFE10 |          0  (omitted)
                           yearFE11 |          0  (omitted)
                           yearFE12 |          0  (omitted)
                           yearFE13 |          0  (omitted)
                           yearFE14 |          0  (omitted)
                           yearFE15 |          0  (omitted)
                           yearFE16 |          0  (omitted)
                           yearFE17 |          0  (omitted)
                           yearFE18 |          0  (omitted)
                           yearFE19 |          0  (omitted)
                           yearFE20 |          0  (omitted)
                           yearFE21 |          0  (omitted)
                           yearFE22 |          0  (omitted)
                           yearFE23 |          0  (omitted)
                           yearFE24 |          0  (omitted)
                           yearFE25 |  -2.436666    .723431    -3.37   0.001    -3.866839   -1.006493
                           yearFE26 |  -2.501651    .703378    -3.56   0.001    -3.892181   -1.111121
                           yearFE27 |  -2.265259   .7102354    -3.19   0.002    -3.669345   -.8611719
                           yearFE28 |  -1.796611   .6948895    -2.59   0.011     -3.17036   -.4228621
                           yearFE29 |  -1.798182    .679636    -2.65   0.009    -3.141776    -.454588
                           yearFE30 |  -1.480391   .6308136    -2.35   0.020    -2.727466   -.2333161
                           yearFE31 |  -1.301851   .6025193    -2.16   0.032     -2.49299   -.1107115
                           yearFE32 |  -1.334022   .5587348    -2.39   0.018    -2.438602   -.2294416
                           yearFE33 |  -1.027215   .5719539    -1.80   0.075    -2.157928    .1034989
                           yearFE34 |  -.9628664   .5187361    -1.86   0.066    -1.988372    .0626393
                           yearFE35 |  -.7755979   .5203757    -1.49   0.138    -1.804345    .2531491
                           yearFE36 |  -.9357267   .4691324    -1.99   0.048    -1.863169    -.008284
                           yearFE37 |  -1.159632    .481383    -2.41   0.017    -2.111293   -.2079709
                           yearFE38 |  -.8027728    .470137    -1.71   0.090    -1.732202    .1266558
                           yearFE39 |  -1.109924   .4693927    -2.36   0.019    -2.037881   -.1819668
                           yearFE40 |  -.5809566   .4346358    -1.34   0.183    -1.440202    .2782886
                           yearFE41 |  -.8369216   .4247886    -1.97   0.051      -1.6767    .0028563
                           yearFE42 |  -.8488872   .4415969    -1.92   0.057    -1.721894    .0241196
                           yearFE43 |  -.5925244   .4221337    -1.40   0.163    -1.427054    .2420051
                           yearFE44 |  -.6420634   .4256421    -1.51   0.134    -1.483529    .1994019
                           yearFE45 |  -.7074709   .4389216    -1.61   0.109    -1.575189     .160247
                           yearFE46 |  -.4992616   .4212587    -1.19   0.238    -1.332061     .333538
                           yearFE47 |  -.7898042   .3842299    -2.06   0.042      -1.5494    -.030208
                           yearFE48 |  -.6531967   .3878819    -1.68   0.094    -1.420013    .1136192
                           yearFE49 |  -.7103853   .3697237    -1.92   0.057    -1.441304    .0205331
                           yearFE50 |  -.8337614    .384772    -2.17   0.032    -1.594429   -.0730935
                           yearFE51 |  -.9847414   .3595324    -2.74   0.007    -1.695512   -.2739705
                           yearFE52 |  -.9849193     .35336    -2.79   0.006    -1.683488   -.2863508
                           yearFE53 |  -.7002095   .3320425    -2.11   0.037    -1.356635   -.0437843
                           yearFE54 |  -1.139501   .3055021    -3.73   0.000    -1.743458   -.5355444
                           yearFE55 |  -1.136984   .3356014    -3.39   0.001    -1.800445   -.4735231
                           yearFE56 |  -.9571985   .3108084    -3.08   0.002    -1.571645   -.3427516
                           yearFE57 |  -1.032946   .3332455    -3.10   0.002     -1.69175   -.3741427
                           yearFE58 |  -1.105927   .2982969    -3.71   0.000     -1.69564   -.5162145
                           yearFE59 |  -.9044471   .2567251    -3.52   0.001    -1.411975   -.3969192
                           yearFE60 |  -.8285092   .2636115    -3.14   0.002    -1.349651   -.3073674
                           yearFE61 |  -.9532002   .2432804    -3.92   0.000    -1.434149   -.4722515
                           yearFE62 |  -.6969092   .2240452    -3.11   0.002    -1.139831   -.2539873
                           yearFE63 |  -.3705482   .2280646    -1.62   0.106    -.8214163    .0803198
                           yearFE64 |  -.1691225   .2433733    -0.69   0.488    -.6502548    .3120097
                           yearFE65 |  -.0675415   .2581387    -0.26   0.794     -.577864    .4427809
                           yearFE66 |  -.2816798   .2168598    -1.30   0.196    -.7103968    .1470372
                           yearFE67 |  -.4998352   .2307174    -2.17   0.032    -.9559477   -.0437227
                           yearFE68 |  -.4792937   .2035666    -2.35   0.020     -.881731   -.0768564
                           yearFE69 |   .1619115   .2256089     0.72   0.474    -.2841018    .6079248
                           yearFE70 |          0  (omitted)
                              _cons |   2.111104   9.964951     0.21   0.833    -17.58892    21.81113
------------------------------------+----------------------------------------------------------------
                            sigma_u |  1.5335482
                            sigma_e |  1.5989053
                                rho |  .47914457   (fraction of variance due to u_i)
-----------------------------------------------------------------------------------------------------

.                                         margins, dydx(votedallwithUSA) at(past_unga = (0 (0.05) 1))

Average marginal effects                        Number of obs     =      4,404
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : votedallwithUSA

1._at        : past_ungaUSA    =           0

2._at        : past_ungaUSA    =         .05

3._at        : past_ungaUSA    =          .1

4._at        : past_ungaUSA    =         .15

5._at        : past_ungaUSA    =          .2

6._at        : past_ungaUSA    =         .25

7._at        : past_ungaUSA    =          .3

8._at        : past_ungaUSA    =         .35

9._at        : past_ungaUSA    =          .4

10._at       : past_ungaUSA    =         .45

11._at       : past_ungaUSA    =          .5

12._at       : past_ungaUSA    =         .55

13._at       : past_ungaUSA    =          .6

14._at       : past_ungaUSA    =         .65

15._at       : past_ungaUSA    =          .7

16._at       : past_ungaUSA    =         .75

17._at       : past_ungaUSA    =          .8

18._at       : past_ungaUSA    =         .85

19._at       : past_ungaUSA    =          .9

20._at       : past_ungaUSA    =         .95

21._at       : past_ungaUSA    =           1

---------------------------------------------------------------------------------
                |            Delta-method
                |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
votedallwithUSA |
            _at |
             1  |   .9178557   .3147017     2.92   0.004     .3010517     1.53466
             2  |   .8120028   .2619805     3.10   0.002     .2985303    1.325475
             3  |   .7061498   .2128936     3.32   0.001      .288886    1.123414
             4  |   .6002968   .1706071     3.52   0.000      .265913    .9346807
             5  |   .4944439   .1413618     3.50   0.000     .2173798     .771508
             6  |   .3885909   .1339879     2.90   0.004     .1259794    .6512025
             7  |    .282738    .151709     1.86   0.062    -.0146062    .5800821
             8  |   .1768851   .1875412     0.94   0.346     -.190689    .5444591
             9  |   .0710321   .2332832     0.30   0.761    -.3861946    .5282588
            10  |  -.0348208   .2841894    -0.12   0.902    -.5918219    .5221802
            11  |  -.1406738   .3379341    -0.42   0.677    -.8030125    .5216649
            12  |  -.2465268   .3933555    -0.63   0.531    -1.017489    .5244358
            13  |  -.3523798   .4498343    -0.78   0.433    -1.234039    .5292792
            14  |  -.4582326   .5070171    -0.90   0.366    -1.451968    .5355027
            15  |  -.5640856   .5646903    -1.00   0.318    -1.670858    .5426871
            16  |  -.6699386   .6227176    -1.08   0.282    -1.890443    .5505655
            17  |  -.7757916   .6810085    -1.14   0.255    -2.110544    .5589605
            18  |  -.8816446   .7395006    -1.19   0.233    -2.331039      .56775
            19  |  -.9874974   .7981496    -1.24   0.216    -2.551842    .5768471
            20  |   -1.09335   .8569235    -1.28   0.202     -2.77289    .5861888
            21  |  -1.199203   .9157981    -1.31   0.190    -2.994135    .5957279
---------------------------------------------------------------------------------

.                                         marginsplot, level(95) title(" ", color(black) size(medium)) xtitle("Allied" "(politic
> al proximity to US in previous period)") ytitle("Effect of UNSC, all with US") legend(off) graphregion(color(white)) bgcolor(w
> hite)  ///
>                                                 ylabel(-3 (1) 3 , nogrid angle(0) axis(1))  yscale(range(-3 3) axis(1)) xscale
> (range(0 1)) xlabel(0 (0.2) 1) plotopts(msize(small) mcolor(black) lcolor(black)) ciopts(lwidth(thin) lcolor(black)) yline(0, 
> lcolor(maroon)) ///
>                                                 addplot(hist past_unga if e(sample) , below color("252 205 85") fcolor(none)  
> yaxis(2) ylabel(0 (2) 6, axis(2) angle(0)) yscale(alt range(0 8) axis(2) ))  

  Variables that uniquely identify margins: past_ungaUSA

.                                                                 graph export "graphs/FigureA8_3.png", replace   
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/FigureA8_3.png written in PNG format)

.                 
.                 
.                         lab var war "War"

.                         lab var odarec "Total ODA received (% GDP)"

.                         lab var trade "Trade (% GDP)"

.                         lab var fdiin "FDI (% GDP)"

.                         lab var domcredit "Domestic private credit (% GDP)"

.                         lab var lnpop "Population (ln)"

.                         
.                         estout control1 control3 control5 using "tables/TableA10.xls", title(" ") ///
>                                          replace delimiter(_tab) label noabbrev style(tab) collabels(none) ///
>                                          drop(_cons ) ///
>                                          order(votedallwithUSA  votednotallwithUSA  ) ///
>                                          indicate("Country FE, Year FE, Controls" = yearFE*)  ///
>                                          cells(b(star fmt(3)) se(par([ ]) abs fmt(3))) starlevels(* 0.1 ** 0.05 *** 0.01) ///
>                                          stats(N r2 Dependent, fmt(0 3 0 ) label( "Observations" "R-squared" "Dependent Variab
> le"))  ///
>                                          mlabels("[1]" "[2]" "[3]" "[4]" "[5]" "[6]" "[7]" "[8]" "[9]" "[10]" "[11]" "[12]" "[
> 13]" "[14]" "[15]" "[16]" "[17]" "[18]" "[19]" "[20]" "[21]") ///
>                                          note("Notes: Standard errors clustered on the country-level are in brackets. Signific
> ance levels: * p < 0.1; ** p < 0.05; *** p < 0.01")
(output written to tables/TableA10.xls)

.  
.  
.                         estout control* using "tables/TableA11.xls", title(" ") ///
>                                          replace delimiter(_tab) label noabbrev style(tab) collabels(none) ///
>                                          drop(_cons ) ///
>                                          order(votedallwithUSA unscall_pastunga votednotallwithUSA unscnotallXpastunga past_un
> ga  ) ///
>                                          indicate("Country FE, Year FE, Controls" = yearFE*)  ///
>                                          cells(b(star fmt(3)) se(par([ ]) abs fmt(3))) starlevels(* 0.1 ** 0.05 *** 0.01) ///
>                                          stats(N r2 Dependent, fmt(0 3 0 ) label( "Observations" "R-squared" "Dependent Variab
> le"))  ///
>                                          mlabels("[1]" "[2]" "[3]" "[4]" "[5]" "[6]" "[7]" "[8]" "[9]" "[10]" "[11]" "[12]" "[
> 13]" "[14]" "[15]" "[16]" "[17]" "[18]" "[19]" "[20]" "[21]") ///
>                                          note("Notes: Standard errors clustered on the country-level are in brackets. Signific
> ance levels: * p < 0.1; ** p < 0.05; *** p < 0.01")
(output written to tables/TableA11.xls)

.  
. 
. 
. *FIGURE A9
. 
.         clear 

.         clear matrix

.         clear mata

.         set maxvar 20000


.         use "regressiondata.dta", clear

. 
.         
.         keep  lnODAnetdis_USA IMFcommitments_lny lnWBlend votedallwithUSA votednotallwithUSA past_unga  l_lngdppcconst lnpop p
> astIMF oda p5 countryid year // 

. 
.         gen notallwithUSAXpast_unga = votednotallwithUSA * past_unga
(5,331 missing values generated)

.         
. 
.         interflex lnODAnetdis_USA votedallwithUSA past_unga notallwithUSAXpast_unga votednotallwithUSA l_lngdppcconst lnpop   
>   if oda == 1  & p5 == 0 , fe(countryid year) vce(cluster) cluster(countryid) type(kernel) bw(0.2)

.                 gr_edit .style.editstyle boxstyle(shadestyle(color(white))) editcopy

.                 gr_edit .plotregion1.plot3.style.editstyle area(linestyle(width(none))) editcopy

.                 gr_edit .plotregion1.plot4.style.editstyle area(shadestyle(color(red))) editcopy

.                 gr_edit .plotregion1.plot4.style.editstyle area(linestyle(color(red))) editcopy

.                 gr_edit .yaxis1.title.text = {}

.                 gr_edit .yaxis1.title.text.Arrpush Marginal Effect of UNSC on US aid

.                 gr_edit .xaxis1.title.text = {}

.                 gr_edit .xaxis1.title.text.Arrpush Moderator: Allied

.                 
.                 graph export "graphs/FigureA9_A.png", replace
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/FigureA9_A.png written in PNG format)

.                 
. 
.         interflex IMFcommitments_lny votedallwithUSA past_unga notallwithUSAXpast_unga votednotallwithUSA l_lngdppcconst lnpop
>  pastIMF   if oda == 1  & p5 == 0 , fe(countryid year) vce(cluster) cluster(countryid) type(kernel) bw(0.2)

.                 gr_edit .style.editstyle boxstyle(shadestyle(color(white))) editcopy

.                 gr_edit .plotregion1.plot3.style.editstyle area(linestyle(width(none))) editcopy

.                 gr_edit .plotregion1.plot4.style.editstyle area(shadestyle(color(red))) editcopy

.                 gr_edit .plotregion1.plot4.style.editstyle area(linestyle(color(red))) editcopy

.                 gr_edit .yaxis1.title.text = {}

.                 gr_edit .yaxis1.title.text.Arrpush Marginal Effect of UNSC on IMF loans

.                 gr_edit .xaxis1.title.text = {}

.                 gr_edit .xaxis1.title.text.Arrpush Moderator: Allied

.                 
.                 graph export "graphs/FigureA9_B.png", replace
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/FigureA9_B.png written in PNG format)

. 
.         interflex lnWBlend votedallwithUSA past_unga notallwithUSAXpast_unga votednotallwithUSA l_lngdppcconst lnpop    if oda
>  == 1  & p5 == 0 , fe(countryid year) vce(cluster) cluster(countryid) type(kernel) bw(0.2)

.                 gr_edit .style.editstyle boxstyle(shadestyle(color(white))) editcopy

.                 gr_edit .plotregion1.plot3.style.editstyle area(linestyle(width(none))) editcopy

.                 gr_edit .plotregion1.plot4.style.editstyle area(shadestyle(color(red))) editcopy

.                 gr_edit .plotregion1.plot4.style.editstyle area(linestyle(color(red))) editcopy

.                 gr_edit .yaxis1.title.text = {}

.                 gr_edit .yaxis1.title.text.Arrpush Marginal Effect of UNSC on WB loans

.                 gr_edit .xaxis1.title.text = {}

.                 gr_edit .xaxis1.title.text.Arrpush Moderator: Allied

.                 
.                 graph export "graphs/FigureA9_C.png", replace
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/FigureA9_C.png written in PNG format)

. 
.                 
.         
.         
.         
. *FIGURE A10
. 
. use "regressiondata.dta", clear

. 
.         xtreg lnODAnetdis_USA   votedallwithUSA c.votedallwithUSA#c.past_ideal votednotallwithUSA c.votednotallwithUSA#c.past_
> ideal  past_ideal                 l_lngdppcconst lnpop   yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,115
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1837                                         min =          5
     between = 0.3051                                         avg =       33.7
     overall = 0.2448                                         max =         51

                                                F(57,151)         =       7.94
corr(u_i, Xb)  = -0.8998                        Prob > F          =     0.0000

                                                 (Std. Err. adjusted for 152 clusters in countryid)
---------------------------------------------------------------------------------------------------
                                  |               Robust
                  lnODAnetdis_USA |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------------------+----------------------------------------------------------------
                  votedallwithUSA |   1.089973   .5010207     2.18   0.031     .1000565    2.079889
                                  |
   c.votedallwithUSA#c.past_ideal |  -.3622323   .1766872    -2.05   0.042    -.7113306    -.013134
                                  |
               votednotallwithUSA |   .4791844   .5710994     0.84   0.403    -.6491932    1.607562
                                  |
c.votednotallwithUSA#c.past_ideal |  -.1609145   .1962524    -0.82   0.414    -.5486697    .2268407
                                  |
                       past_ideal |  -.6107579   .2072928    -2.95   0.004    -1.020327    -.201189
                   l_lngdppcconst |  -.7561215   .1844684    -4.10   0.000    -1.120594   -.3916491
                            lnpop |   1.796896   .5052969     3.56   0.001     .7985313    2.795262
                          yearFE1 |          0  (omitted)
                          yearFE2 |          0  (omitted)
                          yearFE3 |          0  (omitted)
                          yearFE4 |          0  (omitted)
                          yearFE5 |          0  (omitted)
                          yearFE6 |          0  (omitted)
                          yearFE7 |          0  (omitted)
                          yearFE8 |          0  (omitted)
                          yearFE9 |          0  (omitted)
                         yearFE10 |          0  (omitted)
                         yearFE11 |          0  (omitted)
                         yearFE12 |          0  (omitted)
                         yearFE13 |          0  (omitted)
                         yearFE14 |          0  (omitted)
                         yearFE15 |          0  (omitted)
                         yearFE16 |    .511803   .8177495     0.63   0.532    -1.103906    2.127512
                         yearFE17 |   .7941565   .7694625     1.03   0.304    -.7261466     2.31446
                         yearFE18 |   .7112166   .7719013     0.92   0.358    -.8139052    2.236338
                         yearFE19 |   .3680271    .741284     0.50   0.620    -1.096601    1.832655
                         yearFE20 |   .5029494   .7116716     0.71   0.481    -.9031706    1.909069
                         yearFE21 |          0  (omitted)
                         yearFE22 |          0  (omitted)
                         yearFE23 |          0  (omitted)
                         yearFE24 |          0  (omitted)
                         yearFE25 |  -.1910321   .6106825    -0.31   0.755    -1.397618    1.015554
                         yearFE26 |  -.2002863   .5775306    -0.35   0.729    -1.341371     .940798
                         yearFE27 |   -.302757   .5718786    -0.53   0.597    -1.432674      .82716
                         yearFE28 |   -.645368   .5586183    -1.16   0.250    -1.749085    .4583494
                         yearFE29 |  -.6609952    .527642    -1.25   0.212     -1.70351    .3815192
                         yearFE30 |  -.5422953   .5322277    -1.02   0.310     -1.59387    .5092797
                         yearFE31 |  -.6380785   .4992092    -1.28   0.203    -1.624415    .3482585
                         yearFE32 |   -.571457   .4902763    -1.17   0.246    -1.540144    .3972303
                         yearFE33 |   -.575743   .4612685    -1.25   0.214    -1.487117    .3356307
                         yearFE34 |  -.4531398   .4531836    -1.00   0.319     -1.34854    .4422599
                         yearFE35 |  -.4449108   .4448027    -1.00   0.319    -1.323751    .4339298
                         yearFE36 |  -.4306817    .433539    -0.99   0.322    -1.287268    .4259042
                         yearFE37 |  -.4422576   .4279134    -1.03   0.303    -1.287728    .4032132
                         yearFE38 |  -.2848645    .406736    -0.70   0.485    -1.088493    .5187641
                         yearFE39 |  -.1645074   .4013352    -0.41   0.682     -.957465    .6284503
                         yearFE40 |  -.0320461   .3982397    -0.08   0.936    -.8188877    .7547956
                         yearFE41 |  -.0154601   .3774918    -0.04   0.967     -.761308    .7303878
                         yearFE42 |  -.1188934   .3615468    -0.33   0.743    -.8332372    .5954505
                         yearFE43 |  -.1662235   .3486281    -0.48   0.634    -.8550425    .5225955
                         yearFE44 |  -.2625068   .3452646    -0.76   0.448    -.9446802    .4196665
                         yearFE45 |  -.2039871   .3526531    -0.58   0.564    -.9007586    .4927845
                         yearFE46 |  -.0490356   .3480618    -0.14   0.888    -.7367358    .6386646
                         yearFE47 |  -.2243369   .3254537    -0.69   0.492    -.8673679    .4186941
                         yearFE48 |  -.3020354   .3159709    -0.96   0.341    -.9263303    .3222595
                         yearFE49 |  -.4580109   .3321352    -1.38   0.170    -1.114243    .1982215
                         yearFE50 |  -.6730649    .308291    -2.18   0.031    -1.282186   -.0639439
                         yearFE51 |  -.9862135    .280284    -3.52   0.001    -1.539998   -.4324288
                         yearFE52 |  -.9732995   .2609772    -3.73   0.000    -1.488938   -.4576609
                         yearFE53 |  -.9578001   .2492244    -3.84   0.000    -1.450217   -.4653828
                         yearFE54 |   -.647683   .2291534    -2.83   0.005    -1.100444   -.1949219
                         yearFE55 |  -.5839988   .2179225    -2.68   0.008     -1.01457   -.1534279
                         yearFE56 |  -.5126284   .2111619    -2.43   0.016    -.9298419   -.0954148
                         yearFE57 |  -.2866377   .1992404    -1.44   0.152    -.6802967    .1070213
                         yearFE58 |  -.3127954   .1923591    -1.63   0.106    -.6928582    .0672675
                         yearFE59 |  -.3385488   .1829392    -1.85   0.066    -.6999998    .0229022
                         yearFE60 |  -.1521122   .1659611    -0.92   0.361    -.4800179    .1757935
                         yearFE61 |  -.0500334   .1519569    -0.33   0.742    -.3502697    .2502029
                         yearFE62 |  -.0358309   .1460894    -0.25   0.807    -.3244742    .2528125
                         yearFE63 |    .205159   .1479286     1.39   0.168    -.0871182    .4974362
                         yearFE64 |   .3263348   .1450557     2.25   0.026     .0397339    .6129356
                         yearFE65 |   .3251213   .1361449     2.39   0.018     .0561264    .5941161
                         yearFE66 |   .2693954   .1098936     2.45   0.015     .0522678     .486523
                         yearFE67 |   .2172438   .0836232     2.60   0.010     .0520211    .3824664
                         yearFE68 |   .2487243    .081219     3.06   0.003      .088252    .4091967
                         yearFE69 |   .0504604   .0460929     1.09   0.275    -.0406099    .1415308
                         yearFE70 |          0  (omitted)
                            _cons |  -17.60871   8.394064    -2.10   0.038     -34.1937    -1.02373
----------------------------------+----------------------------------------------------------------
                          sigma_u |  3.2517053
                          sigma_e |  1.1957846
                              rho |  .88087623   (fraction of variance due to u_i)
---------------------------------------------------------------------------------------------------

.                 est store ideal1

.                 estadd local "Dependent" US aid 

added macro:
          e(Dependent) : "US aid"

.         xtreg lnODAnetdis_USA    c.votedallwithUSA##c.past_ideal c.votednotallwithUSA##c.past_ideal             l_lngdppcconst
>  lnpop   yearFE*  if oda == 1 & p5 == 0, fe cluster(countryid) 
note: past_ideal omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      5,115
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1837                                         min =          5
     between = 0.3051                                         avg =       33.7
     overall = 0.2448                                         max =         51

                                                F(57,151)         =       7.94
corr(u_i, Xb)  = -0.8998                        Prob > F          =     0.0000

                                                 (Std. Err. adjusted for 152 clusters in countryid)
---------------------------------------------------------------------------------------------------
                                  |               Robust
                  lnODAnetdis_USA |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------------------+----------------------------------------------------------------
                  votedallwithUSA |   1.089973   .5010207     2.18   0.031     .1000565    2.079889
                       past_ideal |  -.6107579   .2072928    -2.95   0.004    -1.020327    -.201189
                                  |
   c.votedallwithUSA#c.past_ideal |  -.3622323   .1766872    -2.05   0.042    -.7113306    -.013134
                                  |
               votednotallwithUSA |   .4791844   .5710994     0.84   0.403    -.6491932    1.607562
                       past_ideal |          0  (omitted)
                                  |
c.votednotallwithUSA#c.past_ideal |  -.1609145   .1962524    -0.82   0.414    -.5486697    .2268407
                                  |
                   l_lngdppcconst |  -.7561215   .1844684    -4.10   0.000    -1.120594   -.3916491
                            lnpop |   1.796896   .5052969     3.56   0.001     .7985313    2.795262
                          yearFE1 |          0  (omitted)
                          yearFE2 |          0  (omitted)
                          yearFE3 |          0  (omitted)
                          yearFE4 |          0  (omitted)
                          yearFE5 |          0  (omitted)
                          yearFE6 |          0  (omitted)
                          yearFE7 |          0  (omitted)
                          yearFE8 |          0  (omitted)
                          yearFE9 |          0  (omitted)
                         yearFE10 |          0  (omitted)
                         yearFE11 |          0  (omitted)
                         yearFE12 |          0  (omitted)
                         yearFE13 |          0  (omitted)
                         yearFE14 |          0  (omitted)
                         yearFE15 |          0  (omitted)
                         yearFE16 |    .511803   .8177495     0.63   0.532    -1.103906    2.127512
                         yearFE17 |   .7941565   .7694625     1.03   0.304    -.7261466     2.31446
                         yearFE18 |   .7112166   .7719013     0.92   0.358    -.8139052    2.236338
                         yearFE19 |   .3680271    .741284     0.50   0.620    -1.096601    1.832655
                         yearFE20 |   .5029494   .7116716     0.71   0.481    -.9031706    1.909069
                         yearFE21 |          0  (omitted)
                         yearFE22 |          0  (omitted)
                         yearFE23 |          0  (omitted)
                         yearFE24 |          0  (omitted)
                         yearFE25 |  -.1910321   .6106825    -0.31   0.755    -1.397618    1.015554
                         yearFE26 |  -.2002863   .5775306    -0.35   0.729    -1.341371     .940798
                         yearFE27 |   -.302757   .5718786    -0.53   0.597    -1.432674      .82716
                         yearFE28 |   -.645368   .5586183    -1.16   0.250    -1.749085    .4583494
                         yearFE29 |  -.6609952    .527642    -1.25   0.212     -1.70351    .3815192
                         yearFE30 |  -.5422953   .5322277    -1.02   0.310     -1.59387    .5092797
                         yearFE31 |  -.6380785   .4992092    -1.28   0.203    -1.624415    .3482585
                         yearFE32 |   -.571457   .4902763    -1.17   0.246    -1.540144    .3972303
                         yearFE33 |   -.575743   .4612685    -1.25   0.214    -1.487117    .3356307
                         yearFE34 |  -.4531398   .4531836    -1.00   0.319     -1.34854    .4422599
                         yearFE35 |  -.4449108   .4448027    -1.00   0.319    -1.323751    .4339298
                         yearFE36 |  -.4306817    .433539    -0.99   0.322    -1.287268    .4259042
                         yearFE37 |  -.4422576   .4279134    -1.03   0.303    -1.287728    .4032132
                         yearFE38 |  -.2848645    .406736    -0.70   0.485    -1.088493    .5187641
                         yearFE39 |  -.1645074   .4013352    -0.41   0.682     -.957465    .6284503
                         yearFE40 |  -.0320461   .3982397    -0.08   0.936    -.8188877    .7547956
                         yearFE41 |  -.0154601   .3774918    -0.04   0.967     -.761308    .7303878
                         yearFE42 |  -.1188934   .3615468    -0.33   0.743    -.8332372    .5954505
                         yearFE43 |  -.1662235   .3486281    -0.48   0.634    -.8550425    .5225955
                         yearFE44 |  -.2625068   .3452646    -0.76   0.448    -.9446802    .4196665
                         yearFE45 |  -.2039871   .3526531    -0.58   0.564    -.9007586    .4927845
                         yearFE46 |  -.0490356   .3480618    -0.14   0.888    -.7367358    .6386646
                         yearFE47 |  -.2243369   .3254537    -0.69   0.492    -.8673679    .4186941
                         yearFE48 |  -.3020354   .3159709    -0.96   0.341    -.9263303    .3222595
                         yearFE49 |  -.4580109   .3321352    -1.38   0.170    -1.114243    .1982215
                         yearFE50 |  -.6730649    .308291    -2.18   0.031    -1.282186   -.0639439
                         yearFE51 |  -.9862135    .280284    -3.52   0.001    -1.539998   -.4324288
                         yearFE52 |  -.9732995   .2609772    -3.73   0.000    -1.488938   -.4576609
                         yearFE53 |  -.9578001   .2492244    -3.84   0.000    -1.450217   -.4653828
                         yearFE54 |   -.647683   .2291534    -2.83   0.005    -1.100444   -.1949219
                         yearFE55 |  -.5839988   .2179225    -2.68   0.008     -1.01457   -.1534279
                         yearFE56 |  -.5126284   .2111619    -2.43   0.016    -.9298419   -.0954148
                         yearFE57 |  -.2866377   .1992404    -1.44   0.152    -.6802967    .1070213
                         yearFE58 |  -.3127954   .1923591    -1.63   0.106    -.6928582    .0672675
                         yearFE59 |  -.3385488   .1829392    -1.85   0.066    -.6999998    .0229022
                         yearFE60 |  -.1521122   .1659611    -0.92   0.361    -.4800179    .1757935
                         yearFE61 |  -.0500334   .1519569    -0.33   0.742    -.3502697    .2502029
                         yearFE62 |  -.0358309   .1460894    -0.25   0.807    -.3244742    .2528125
                         yearFE63 |    .205159   .1479286     1.39   0.168    -.0871182    .4974362
                         yearFE64 |   .3263348   .1450557     2.25   0.026     .0397339    .6129356
                         yearFE65 |   .3251213   .1361449     2.39   0.018     .0561264    .5941161
                         yearFE66 |   .2693954   .1098936     2.45   0.015     .0522678     .486523
                         yearFE67 |   .2172438   .0836232     2.60   0.010     .0520211    .3824664
                         yearFE68 |   .2487243    .081219     3.06   0.003      .088252    .4091967
                         yearFE69 |   .0504604   .0460929     1.09   0.275    -.0406099    .1415308
                         yearFE70 |          0  (omitted)
                            _cons |  -17.60871   8.394064    -2.10   0.038     -34.1937    -1.02373
----------------------------------+----------------------------------------------------------------
                          sigma_u |  3.2517053
                          sigma_e |  1.1957846
                              rho |  .88087623   (fraction of variance due to u_i)
---------------------------------------------------------------------------------------------------

.         margins, dydx(votedallwithUSA) at(past_ideal = (0.5 (0.25) 4.5))

Average marginal effects                        Number of obs     =      5,115
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : votedallwithUSA

1._at        : past_ideal      =          .5

2._at        : past_ideal      =         .75

3._at        : past_ideal      =           1

4._at        : past_ideal      =        1.25

5._at        : past_ideal      =         1.5

6._at        : past_ideal      =        1.75

7._at        : past_ideal      =           2

8._at        : past_ideal      =        2.25

9._at        : past_ideal      =         2.5

10._at       : past_ideal      =        2.75

11._at       : past_ideal      =           3

12._at       : past_ideal      =        3.25

13._at       : past_ideal      =         3.5

14._at       : past_ideal      =        3.75

15._at       : past_ideal      =           4

16._at       : past_ideal      =        4.25

17._at       : past_ideal      =         4.5

---------------------------------------------------------------------------------
                |            Delta-method
                |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
votedallwithUSA |
            _at |
             1  |   .9088566    .415901     2.19   0.029     .0937055    1.724008
             2  |   .8182985   .3739025     2.19   0.029     .0854631    1.551134
             3  |   .7277404   .3324676     2.19   0.029     .0761158    1.379365
             4  |   .6371823   .2918368     2.18   0.029     .0651928    1.209172
             5  |   .5466242   .2523984     2.17   0.030     .0519324    1.041316
             6  |   .4560662   .2148104     2.12   0.034     .0350454    .8770869
             7  |   .3655081   .1802342     2.03   0.043     .0122554    .7187607
             8  |     .27495   .1507565     1.82   0.068    -.0205274    .5704273
             9  |   .1843919    .129896     1.42   0.156    -.0701996    .4389834
            10  |   .0938338   .1221503     0.77   0.442    -.1455765    .3332441
            11  |   .0032757   .1298874     0.03   0.980    -.2512989    .2578503
            12  |  -.0872824   .1507417    -0.58   0.563    -.3827307    .2081659
            13  |  -.1778404   .1802156    -0.99   0.324    -.5310566    .1753757
            14  |  -.2683985   .2147896    -1.25   0.211    -.6893785    .1525814
            15  |  -.3589566   .2523763    -1.42   0.155    -.8536051    .1356918
            16  |  -.4495147   .2918138    -1.54   0.123    -1.021459    .1224298
            17  |  -.5400728   .3324441    -1.62   0.104    -1.191651    .1115057
---------------------------------------------------------------------------------

.         marginsplot, level(95) title(" ", color(black) size(medium)) xtitle("Idealpoint distance to US") ytitle("Effect of UNS
> C, all with US") legend(off) graphregion(color(white)) ///
>                         ylabel(,nogrid)  xscale(range(0 5)) xlabel(0 (0.2) 1) plotopts(msize(small) mcolor(black) lcolor(black
> )) ciopts(lwidth(thin) lcolor(black)) yline(0, lcolor(maroon)) ///
>                 addplot(hist past_ideal if e(sample) & past_ideal > 0, below color("252 205 85") fcolor(none)  yaxis(2) ylabel
> (0 (1) 2., axis(2)) yscale(alt range(0 2) axis(2) ))  

  Variables that uniquely identify margins: past_ideal

.                         graph export "graphs/FigureA10_A.png", replace                  
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/FigureA10_A.png written in PNG format)

. 
.                         
.                         
. 
.         xtreg IMFcommitments_lny  votedallwithUSA c.votedallwithUSA#c.past_ideal votednotallwithUSA c.votednotallwithUSA#c.pas
> t_ideal past_ideal                l_lngdppcconst lnpop   pastIMF yearFE*  if oda == 1  & p5 == 0 , fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      4,984
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1149                                         min =          5
     between = 0.1066                                         avg =       32.8
     overall = 0.0784                                         max =         50

                                                F(57,151)         =      10.94
corr(u_i, Xb)  = -0.4058                        Prob > F          =     0.0000

                                                 (Std. Err. adjusted for 152 clusters in countryid)
---------------------------------------------------------------------------------------------------
                                  |               Robust
               IMFcommitments_lny |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------------------+----------------------------------------------------------------
                  votedallwithUSA |  -.2131711   .4847167    -0.44   0.661    -1.170874    .7445317
                                  |
   c.votedallwithUSA#c.past_ideal |   .2680278   .1967494     1.36   0.175    -.1207094     .656765
                                  |
               votednotallwithUSA |  -.7692046   .6806168    -1.13   0.260    -2.113967    .5755574
                                  |
c.votednotallwithUSA#c.past_ideal |   .1760388   .2145311     0.82   0.413    -.2478314     .599909
                                  |
                       past_ideal |  -.1438201   .1227476    -1.17   0.243    -.3863447    .0987046
                   l_lngdppcconst |  -.5574238   .1719144    -3.24   0.001    -.8970921   -.2177554
                            lnpop |  -.1694469   .4389945    -0.39   0.700    -1.036812    .6979179
                          pastIMF |   1.475935   .1673829     8.82   0.000      1.14522     1.80665
                          yearFE1 |          0  (omitted)
                          yearFE2 |          0  (omitted)
                          yearFE3 |          0  (omitted)
                          yearFE4 |          0  (omitted)
                          yearFE5 |          0  (omitted)
                          yearFE6 |          0  (omitted)
                          yearFE7 |          0  (omitted)
                          yearFE8 |          0  (omitted)
                          yearFE9 |          0  (omitted)
                         yearFE10 |          0  (omitted)
                         yearFE11 |          0  (omitted)
                         yearFE12 |          0  (omitted)
                         yearFE13 |          0  (omitted)
                         yearFE14 |          0  (omitted)
                         yearFE15 |          0  (omitted)
                         yearFE16 |  -.5377218   .7191248    -0.75   0.456    -1.958568    .8831242
                         yearFE17 |  -1.197274   .6661486    -1.80   0.074     -2.51345    .1189016
                         yearFE18 |  -1.181982   .6816936    -1.73   0.085    -2.528871    .1649078
                         yearFE19 |  -1.116082   .6562866    -1.70   0.091    -2.412772    .1806083
                         yearFE20 |  -.8909259   .6554663    -1.36   0.176    -2.185995    .4041437
                         yearFE21 |          0  (omitted)
                         yearFE22 |          0  (omitted)
                         yearFE23 |          0  (omitted)
                         yearFE24 |          0  (omitted)
                         yearFE25 |  -.9176234   .5278445    -1.74   0.084    -1.960538    .1252912
                         yearFE26 |  -1.085861   .5130142    -2.12   0.036    -2.099474   -.0722483
                         yearFE27 |  -.8443493   .5055859    -1.67   0.097    -1.843285    .1545867
                         yearFE28 |  -.9692151      .5159    -1.88   0.062     -1.98853    .0500995
                         yearFE29 |  -1.055366   .5186215    -2.03   0.044    -2.080058    -.030674
                         yearFE30 |  -1.129187   .4978367    -2.27   0.025    -2.112812   -.1455613
                         yearFE31 |  -.8566929   .4750171    -1.80   0.073    -1.795231    .0818453
                         yearFE32 |  -.4949469   .4518983    -1.10   0.275    -1.387807    .3979133
                         yearFE33 |  -.6156566   .4585025    -1.34   0.181    -1.521565    .2902523
                         yearFE34 |  -.3149328   .4515682    -0.70   0.487    -1.207141    .5772752
                         yearFE35 |   .0875347   .4528825     0.19   0.847    -.8072701    .9823396
                         yearFE36 |   .2166045   .4438978     0.49   0.626    -.6604484    1.093657
                         yearFE37 |  -.1468023   .4093393    -0.36   0.720    -.9555744    .6619698
                         yearFE38 |   .5459309    .382518     1.43   0.156    -.2098478     1.30171
                         yearFE39 |   .0714922   .3585931     0.20   0.842    -.6370157    .7800002
                         yearFE40 |   .0566619    .384658     0.15   0.883     -.703345    .8166688
                         yearFE41 |  -.0282553   .3399785    -0.08   0.934    -.6999844    .6434739
                         yearFE42 |   .1423809   .3202432     0.44   0.657    -.4903553    .7751171
                         yearFE43 |   .2060726   .3422672     0.60   0.548    -.4701786    .8823238
                         yearFE44 |   .5723146   .3404759     1.68   0.095    -.1003973    1.245026
                         yearFE45 |   .2380354   .3103107     0.77   0.444    -.3750761    .8511469
                         yearFE46 |   .4300478   .3024912     1.42   0.157    -.1676141     1.02771
                         yearFE47 |   .3987325   .3016466     1.32   0.188    -.1972607    .9947256
                         yearFE48 |  -.0270024   .3126262    -0.09   0.931    -.6446889    .5906841
                         yearFE49 |   .3390595   .3110191     1.09   0.277    -.2754517    .9535706
                         yearFE50 |    .404975   .2834266     1.43   0.155     -.155019     .964969
                         yearFE51 |    .494195   .2806402     1.76   0.080    -.0602936    1.048684
                         yearFE52 |    .479544   .2988171     1.60   0.111    -.1108585    1.069946
                         yearFE53 |   .5027158   .2891389     1.74   0.084    -.0685645    1.073996
                         yearFE54 |   .5391015   .2756979     1.96   0.052     -.005622    1.083825
                         yearFE55 |   .4289696   .2743078     1.56   0.120    -.1130076    .9709467
                         yearFE56 |   .4593481   .2796621     1.64   0.103    -.0932079    1.011904
                         yearFE57 |    .232182   .2873497     0.81   0.420    -.3355633    .7999273
                         yearFE58 |   .4064019   .2765993     1.47   0.144    -.1401028    .9529066
                         yearFE59 |   .2364652   .2636296     0.90   0.371    -.2844139    .7573444
                         yearFE60 |  -.0750184   .2553258    -0.29   0.769     -.579491    .4294541
                         yearFE61 |  -.2198765   .2361671    -0.93   0.353    -.6864953    .2467422
                         yearFE62 |  -.3562127   .2314995    -1.54   0.126    -.8136092    .1011837
                         yearFE63 |  -.1179672   .2058935    -0.57   0.568    -.5247713    .2888369
                         yearFE64 |    .406652   .2457234     1.65   0.100     -.078848    .8921521
                         yearFE65 |   .2763045   .1968482     1.40   0.162     -.112628    .6652371
                         yearFE66 |   .1991017   .2069214     0.96   0.337    -.2097333    .6079368
                         yearFE67 |  -.0299998   .1920234    -0.16   0.876    -.4093995    .3493998
                         yearFE68 |  -.1783516   .1332348    -1.34   0.183    -.4415967    .0848935
                         yearFE69 |          0  (omitted)
                         yearFE70 |          0  (omitted)
                            _cons |   7.342894   7.358843     1.00   0.320    -7.196701    21.88249
----------------------------------+----------------------------------------------------------------
                          sigma_u |     1.0457
                          sigma_e |  1.7510982
                              rho |  .26286833   (fraction of variance due to u_i)
---------------------------------------------------------------------------------------------------

.                 est store ideal2

.                 estadd local "Dependent" IMF loans 

added macro:
          e(Dependent) : "IMF loans"

.         xtreg IMFcommitments_lny  c.votedallwithUSA##c.past_ideal c.votednotallwithUSA##c.past_ideal            l_lngdppcconst
>  lnpop war pastIMF  yearFE*  if oda == 1  & p5 == 0 , fe cluster(countryid) 
note: past_ideal omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE69 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      4,984
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.1169                                         min =          5
     between = 0.0898                                         avg =       32.8
     overall = 0.0742                                         max =         50

                                                F(58,151)         =      11.35
corr(u_i, Xb)  = -0.4201                        Prob > F          =     0.0000

                                                 (Std. Err. adjusted for 152 clusters in countryid)
---------------------------------------------------------------------------------------------------
                                  |               Robust
               IMFcommitments_lny |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------------------+----------------------------------------------------------------
                  votedallwithUSA |  -.2164955   .4835291    -0.45   0.655    -1.171852    .7388608
                       past_ideal |  -.1510265   .1221071    -1.24   0.218    -.3922857    .0902326
                                  |
   c.votedallwithUSA#c.past_ideal |   .2673345   .1964143     1.36   0.176    -.1207408    .6554097
                                  |
               votednotallwithUSA |  -.7765929    .671365    -1.16   0.249    -2.103075    .5498893
                       past_ideal |          0  (omitted)
                                  |
c.votednotallwithUSA#c.past_ideal |   .1743377   .2117362     0.82   0.412    -.2440104    .5926859
                                  |
                   l_lngdppcconst |   -.564113   .1704654    -3.31   0.001    -.9009184   -.2273076
                            lnpop |  -.1847714   .4406355    -0.42   0.676    -1.055379    .6858357
                              war |  -.3961548   .2247457    -1.76   0.080     -.840207    .0478974
                          pastIMF |   1.472741   .1662349     8.86   0.000     1.144294    1.801188
                          yearFE1 |          0  (omitted)
                          yearFE2 |          0  (omitted)
                          yearFE3 |          0  (omitted)
                          yearFE4 |          0  (omitted)
                          yearFE5 |          0  (omitted)
                          yearFE6 |          0  (omitted)
                          yearFE7 |          0  (omitted)
                          yearFE8 |          0  (omitted)
                          yearFE9 |          0  (omitted)
                         yearFE10 |          0  (omitted)
                         yearFE11 |          0  (omitted)
                         yearFE12 |          0  (omitted)
                         yearFE13 |          0  (omitted)
                         yearFE14 |          0  (omitted)
                         yearFE15 |          0  (omitted)
                         yearFE16 |  -.6032259   .7204891    -0.84   0.404    -2.026768    .8203157
                         yearFE17 |   -1.26521    .672642    -1.88   0.062    -2.594215    .0637957
                         yearFE18 |  -1.259805   .6855835    -1.84   0.068     -2.61438    .0947704
                         yearFE19 |  -1.192415   .6619562    -1.80   0.074    -2.500307    .1154774
                         yearFE20 |  -.9263301   .6612989    -1.40   0.163    -2.232924    .3802636
                         yearFE21 |          0  (omitted)
                         yearFE22 |          0  (omitted)
                         yearFE23 |          0  (omitted)
                         yearFE24 |          0  (omitted)
                         yearFE25 |  -.9498706    .531118    -1.79   0.076    -1.999253    .0995117
                         yearFE26 |  -1.113462   .5154084    -2.16   0.032    -2.131805   -.0951189
                         yearFE27 |  -.8879218   .5104572    -1.74   0.084    -1.896482    .1206389
                         yearFE28 |  -1.006797   .5192158    -1.94   0.054    -2.032663    .0190692
                         yearFE29 |  -1.092468   .5205424    -2.10   0.038    -2.120955   -.0639811
                         yearFE30 |  -1.154135    .498654    -2.31   0.022    -2.139375   -.1688952
                         yearFE31 |  -.8757444   .4761901    -1.84   0.068      -1.8166    .0651114
                         yearFE32 |   -.516954   .4531976    -1.14   0.256    -1.412381    .3784733
                         yearFE33 |  -.6366175   .4586305    -1.39   0.167    -1.542779    .2695441
                         yearFE34 |  -.3296867   .4501258    -0.73   0.465    -1.219045    .5596713
                         yearFE35 |   .0742894   .4540516     0.16   0.870    -.8228253    .9714041
                         yearFE36 |    .203239   .4443204     0.46   0.648    -.6746488    1.081127
                         yearFE37 |   -.156854   .4118462    -0.38   0.704    -.9705794    .6568713
                         yearFE38 |   .5533514   .3846758     1.44   0.152    -.2066907    1.313394
                         yearFE39 |    .088616   .3613463     0.25   0.807    -.6253316    .8025636
                         yearFE40 |   .0700129   .3849494     0.18   0.856    -.6905697    .8305956
                         yearFE41 |  -.0118656   .3398805    -0.03   0.972    -.6834011    .6596699
                         yearFE42 |   .1628207   .3200826     0.51   0.612    -.4695981    .7952395
                         yearFE43 |   .2270803    .339906     0.67   0.505    -.4445055    .8986661
                         yearFE44 |   .5751601   .3390223     1.70   0.092    -.0946799       1.245
                         yearFE45 |   .2449077    .311842     0.79   0.433    -.3712293    .8610447
                         yearFE46 |   .4296648   .3054408     1.41   0.162    -.1738248    1.033154
                         yearFE47 |   .3919245   .3038736     1.29   0.199    -.2084687    .9923176
                         yearFE48 |  -.0409525   .3141467    -0.13   0.896    -.6616431    .5797382
                         yearFE49 |   .3360292   .3119241     1.08   0.283    -.2802702    .9523286
                         yearFE50 |   .3951016   .2857029     1.38   0.169      -.16939    .9595931
                         yearFE51 |   .4925254   .2801194     1.76   0.081    -.0609342    1.045985
                         yearFE52 |   .4762449   .2998619     1.59   0.114     -.116222    1.068712
                         yearFE53 |   .5147367   .2911172     1.77   0.079    -.0604524    1.089926
                         yearFE54 |   .5519044   .2780193     1.99   0.049     .0025942    1.101215
                         yearFE55 |    .440525   .2750693     1.60   0.111    -.1029567    .9840067
                         yearFE56 |   .4564512   .2807447     1.63   0.106    -.0982439    1.011146
                         yearFE57 |   .2256567   .2865387     0.79   0.432    -.3404863    .7917996
                         yearFE58 |     .39389   .2766793     1.42   0.157    -.1527726    .9405525
                         yearFE59 |   .2300612   .2641773     0.87   0.385       -.2919    .7520225
                         yearFE60 |  -.0871786   .2562276    -0.34   0.734    -.5934329    .4190756
                         yearFE61 |  -.2279805   .2377529    -0.96   0.339    -.6977325    .2417714
                         yearFE62 |  -.3691259    .232695    -1.59   0.115    -.8288845    .0906327
                         yearFE63 |  -.1263397   .2067179    -0.61   0.542    -.5347727    .2820932
                         yearFE64 |   .4034366   .2464996     1.64   0.104     -.083597    .8904703
                         yearFE65 |    .270492   .1964645     1.38   0.171    -.1176823    .6586662
                         yearFE66 |   .1934115    .205287     0.94   0.348    -.2121944    .5990173
                         yearFE67 |  -.0393163   .1915063    -0.21   0.838    -.4176943    .3390617
                         yearFE68 |   -.184445   .1355797    -1.36   0.176    -.4523233    .0834332
                         yearFE69 |          0  (omitted)
                         yearFE70 |          0  (omitted)
                            _cons |   7.687839   7.424959     1.04   0.302    -6.982387    22.35806
----------------------------------+----------------------------------------------------------------
                          sigma_u |  1.0677348
                          sigma_e |  1.7493569
                              rho |  .27142243   (fraction of variance due to u_i)
---------------------------------------------------------------------------------------------------

.         margins, dydx(votedallwithUSA) at(past_ideal = (0 (0.25) 4.5))

Average marginal effects                        Number of obs     =      4,984
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : votedallwithUSA

1._at        : past_ideal      =           0

2._at        : past_ideal      =         .25

3._at        : past_ideal      =          .5

4._at        : past_ideal      =         .75

5._at        : past_ideal      =           1

6._at        : past_ideal      =        1.25

7._at        : past_ideal      =         1.5

8._at        : past_ideal      =        1.75

9._at        : past_ideal      =           2

10._at       : past_ideal      =        2.25

11._at       : past_ideal      =         2.5

12._at       : past_ideal      =        2.75

13._at       : past_ideal      =           3

14._at       : past_ideal      =        3.25

15._at       : past_ideal      =         3.5

16._at       : past_ideal      =        3.75

17._at       : past_ideal      =           4

18._at       : past_ideal      =        4.25

19._at       : past_ideal      =         4.5

---------------------------------------------------------------------------------
                |            Delta-method
                |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
votedallwithUSA |
            _at |
             1  |  -.2164955   .4835291    -0.45   0.654    -1.164195    .7312042
             2  |  -.1496619   .4385075    -0.34   0.733    -1.009121    .7097969
             3  |  -.0828283    .394461    -0.21   0.834    -.8559576    .6903011
             4  |  -.0159947   .3517563    -0.05   0.964    -.7054244     .673435
             5  |   .0508389   .3109467     0.16   0.870    -.5586053    .6602832
             6  |   .1176726   .2728837     0.43   0.666    -.4171696    .6525148
             7  |   .1845062   .2388839     0.77   0.440    -.2836976    .6527099
             8  |   .2513398   .2109213     1.19   0.233    -.1620584     .664738
             9  |   .3181734   .1916571     1.66   0.097    -.0574676    .6938145
            10  |    .385007   .1838462     2.09   0.036     .0246752    .7453389
            11  |   .4518407   .1889145     2.39   0.017      .081575    .8221063
            12  |   .5186743   .2059134     2.52   0.012     .1150915    .9222571
            13  |   .5855079   .2322375     2.52   0.012     .1303308    1.040685
            14  |   .6523415   .2651236     2.46   0.014     .1327088    1.171974
            15  |   .7191751   .3024386     2.38   0.017     .1264064    1.311944
            16  |   .7860087    .342739     2.29   0.022     .1142527    1.457765
            17  |   .8528424   .3850886     2.21   0.027     .0980825    1.607602
            18  |    .919676   .4288809     2.14   0.032     .0790849    1.760267
            19  |   .9865096   .4737158     2.08   0.037     .0580436    1.914976
---------------------------------------------------------------------------------

.         marginsplot, level(95) title(" ", color(black) size(medium)) xtitle("Idealpoint distance to US") ytitle("Effect of UNS
> C, all with US") legend(off) graphregion(color(white)) ///
>                 ylabel(,nogrid)  xscale(range(0 1)) xlabel(0 (0.2) 1) plotopts(msize(small) mcolor(black) lcolor(black)) ciopt
> s(lwidth(thin) lcolor(black)) yline(0, lcolor(maroon)) ///
>                 addplot(hist past_ideal if e(sample) & past_ideal > 0, below color("252 205 85") fcolor(none)  yaxis(2) ylabel
> (0 (1) 2, axis(2)) yscale(alt range(0 2) axis(2) ))  

  Variables that uniquely identify margins: past_ideal

.                                 graph export "graphs/FigureA10_B.png", replace                  
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/FigureA10_B.png written in PNG format)

. 
. 
.         
. 
.         xtreg lnWBlend  votedallwithUSA c.votedallwithUSA#c.past_ideal votednotallwithUSA c.votednotallwithUSA#c.past_ideal pa
> st_ideal                  l_lngdppcconst lnpop    yearFE*  if oda == 1  & p5 == 0 , fe cluster(countryid) 
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      4,928
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.0862                                         min =          5
     between = 0.0059                                         avg =       32.4
     overall = 0.0358                                         max =         46

                                                F(52,151)         =       9.06
corr(u_i, Xb)  = -0.1340                        Prob > F          =     0.0000

                                                 (Std. Err. adjusted for 152 clusters in countryid)
---------------------------------------------------------------------------------------------------
                                  |               Robust
                         lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------------------+----------------------------------------------------------------
                  votedallwithUSA |  -.2527369   .5656227    -0.45   0.656    -1.370294    .8648199
                                  |
   c.votedallwithUSA#c.past_ideal |   .2585369   .1977397     1.31   0.193     -.132157    .6492308
                                  |
               votednotallwithUSA |   .5908639   .5192414     1.14   0.257    -.4350527    1.616781
                                  |
c.votednotallwithUSA#c.past_ideal |  -.1397851     .18123    -0.77   0.442    -.4978592     .218289
                                  |
                       past_ideal |  -.6723402    .132333    -5.08   0.000    -.9338036   -.4108769
                   l_lngdppcconst |  -.3860438   .2145827    -1.80   0.074     -.810016    .0379284
                            lnpop |  -.0322813   .4700659    -0.07   0.945     -.961037    .8964744
                          yearFE1 |          0  (omitted)
                          yearFE2 |          0  (omitted)
                          yearFE3 |          0  (omitted)
                          yearFE4 |          0  (omitted)
                          yearFE5 |          0  (omitted)
                          yearFE6 |          0  (omitted)
                          yearFE7 |          0  (omitted)
                          yearFE8 |          0  (omitted)
                          yearFE9 |          0  (omitted)
                         yearFE10 |          0  (omitted)
                         yearFE11 |          0  (omitted)
                         yearFE12 |          0  (omitted)
                         yearFE13 |          0  (omitted)
                         yearFE14 |          0  (omitted)
                         yearFE15 |          0  (omitted)
                         yearFE16 |          0  (omitted)
                         yearFE17 |          0  (omitted)
                         yearFE18 |          0  (omitted)
                         yearFE19 |          0  (omitted)
                         yearFE20 |          0  (omitted)
                         yearFE21 |          0  (omitted)
                         yearFE22 |          0  (omitted)
                         yearFE23 |          0  (omitted)
                         yearFE24 |          0  (omitted)
                         yearFE25 |  -3.204065   .6164914    -5.20   0.000    -4.422128   -1.986002
                         yearFE26 |  -3.309655   .5950602    -5.56   0.000    -4.485375   -2.133936
                         yearFE27 |  -3.050693    .593043    -5.14   0.000    -4.222427   -1.878959
                         yearFE28 |  -2.553018   .5894146    -4.33   0.000    -3.717583   -1.388453
                         yearFE29 |  -2.529014   .5793867    -4.36   0.000    -3.673766   -1.384262
                         yearFE30 |  -2.240245   .5407644    -4.14   0.000    -3.308687   -1.171803
                         yearFE31 |  -2.051445   .5286548    -3.88   0.000     -3.09596   -1.006929
                         yearFE32 |  -2.063422    .487542    -4.23   0.000    -3.026707   -1.100137
                         yearFE33 |  -1.712788   .5037935    -3.40   0.001    -2.708183   -.7173936
                         yearFE34 |  -1.570179    .459118    -3.42   0.001    -2.477303   -.6630539
                         yearFE35 |   -1.38326   .4561248    -3.03   0.003    -2.284471   -.4820489
                         yearFE36 |  -1.517156   .4251558    -3.57   0.000    -2.357179   -.6771339
                         yearFE37 |  -1.774442     .43329    -4.10   0.000    -2.630536   -.9183478
                         yearFE38 |   -1.41623   .4171007    -3.40   0.001    -2.240337   -.5921227
                         yearFE39 |  -1.589558   .4136328    -3.84   0.000    -2.406814   -.7723033
                         yearFE40 |  -1.211333   .3875704    -3.13   0.002    -1.977094   -.4455719
                         yearFE41 |  -1.311644   .3828256    -3.43   0.001    -2.068031   -.5552579
                         yearFE42 |  -1.261451   .3791951    -3.33   0.001    -2.010665    -.512238
                         yearFE43 |  -1.083568   .3832005    -2.83   0.005    -1.840695   -.3264413
                         yearFE44 |  -1.043809   .3810409    -2.74   0.007     -1.79667   -.2909492
                         yearFE45 |  -.9890247   .3884841    -2.55   0.012    -1.756591   -.2214583
                         yearFE46 |  -.6344361   .3659819    -1.73   0.085    -1.357543    .0886705
                         yearFE47 |  -.6517006   .3441712    -1.89   0.060    -1.331714    .0283126
                         yearFE48 |  -.5480115   .3348666    -1.64   0.104    -1.209641    .1136175
                         yearFE49 |  -.6214756   .3145841    -1.98   0.050     -1.24303    .0000793
                         yearFE50 |  -.7443322   .3240018    -2.30   0.023    -1.384495   -.1041698
                         yearFE51 |  -.8828558   .3087802    -2.86   0.005    -1.492943   -.2727683
                         yearFE52 |  -.8580118   .3084932    -2.78   0.006    -1.467532   -.2484912
                         yearFE53 |  -.5861274   .2979599    -1.97   0.051    -1.174836    .0025814
                         yearFE54 |  -.9816046   .2798659    -3.51   0.001    -1.534563    -.428646
                         yearFE55 |  -.8986333   .2854461    -3.15   0.002    -1.462617   -.3346492
                         yearFE56 |  -.7069683   .2642587    -2.68   0.008     -1.22909   -.1848463
                         yearFE57 |  -.8780167   .2850961    -3.08   0.002    -1.441309   -.3147242
                         yearFE58 |  -.9536097   .2579717    -3.70   0.000     -1.46331   -.4439096
                         yearFE59 |  -.7813373   .2272353    -3.44   0.001    -1.230308    -.332366
                         yearFE60 |  -.7609696   .2348801    -3.24   0.001    -1.225045   -.2968938
                         yearFE61 |  -.8602015   .2147231    -4.01   0.000    -1.284451   -.4359517
                         yearFE62 |  -.5641435   .2054707    -2.75   0.007    -.9701123   -.1581746
                         yearFE63 |  -.2120868   .2021508    -1.05   0.296     -.611496    .1873225
                         yearFE64 |  -.0513942   .2180995    -0.24   0.814     -.482315    .3795266
                         yearFE65 |   .0742951   .2304591     0.32   0.748    -.3810457    .5296359
                         yearFE66 |  -.0940995   .1910124    -0.49   0.623    -.4715016    .2833026
                         yearFE67 |  -.3818314   .2026641    -1.88   0.061    -.7822549     .018592
                         yearFE68 |  -.3566659   .1891709    -1.89   0.061    -.7304296    .0170978
                         yearFE69 |   .2539164   .2094811     1.21   0.227    -.1599762     .667809
                         yearFE70 |          0  (omitted)
                            _cons |   9.231389   8.253868     1.12   0.265    -7.076594    25.53937
----------------------------------+----------------------------------------------------------------
                          sigma_u |  1.8009756
                          sigma_e |  1.6188868
                              rho |  .55309397   (fraction of variance due to u_i)
---------------------------------------------------------------------------------------------------

.                 est store ideal3

.                 estadd local "Dependent" WB loans

added macro:
          e(Dependent) : "WB loans"

.         xtreg lnWBlend  c.votedallwithUSA##c.past_ideal c.votednotallwithUSA##c.past_ideal              l_lngdppcconst lnpop w
> ar   yearFE*  if oda == 1  & p5 == 0 , fe cluster(countryid) 
note: past_ideal omitted because of collinearity
note: yearFE1 omitted because of collinearity
note: yearFE2 omitted because of collinearity
note: yearFE3 omitted because of collinearity
note: yearFE4 omitted because of collinearity
note: yearFE5 omitted because of collinearity
note: yearFE6 omitted because of collinearity
note: yearFE7 omitted because of collinearity
note: yearFE8 omitted because of collinearity
note: yearFE9 omitted because of collinearity
note: yearFE10 omitted because of collinearity
note: yearFE11 omitted because of collinearity
note: yearFE12 omitted because of collinearity
note: yearFE13 omitted because of collinearity
note: yearFE14 omitted because of collinearity
note: yearFE15 omitted because of collinearity
note: yearFE16 omitted because of collinearity
note: yearFE17 omitted because of collinearity
note: yearFE18 omitted because of collinearity
note: yearFE19 omitted because of collinearity
note: yearFE20 omitted because of collinearity
note: yearFE21 omitted because of collinearity
note: yearFE22 omitted because of collinearity
note: yearFE23 omitted because of collinearity
note: yearFE24 omitted because of collinearity
note: yearFE70 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =      4,928
Group variable: countryid                       Number of groups  =        152

R-sq:                                           Obs per group:
     within  = 0.0949                                         min =          5
     between = 0.0056                                         avg =       32.4
     overall = 0.0102                                         max =         46

                                                F(53,151)         =       9.97
corr(u_i, Xb)  = -0.2709                        Prob > F          =     0.0000

                                                 (Std. Err. adjusted for 152 clusters in countryid)
---------------------------------------------------------------------------------------------------
                                  |               Robust
                         lnWBlend |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------------------+----------------------------------------------------------------
                  votedallwithUSA |   -.336154   .5799105    -0.58   0.563    -1.481941    .8096325
                       past_ideal |  -.6861381   .1324471    -5.18   0.000    -.9478269   -.4244492
                                  |
   c.votedallwithUSA#c.past_ideal |   .2821964   .2000869     1.41   0.160     -.113135    .6775278
                                  |
               votednotallwithUSA |   .5753913   .5139006     1.12   0.265    -.4399729    1.590755
                       past_ideal |          0  (omitted)
                                  |
c.votednotallwithUSA#c.past_ideal |   -.142714   .1777873    -0.80   0.423     -.493986    .2085579
                                  |
                   l_lngdppcconst |  -.4017983   .2127068    -1.89   0.061    -.8220642    .0184676
                            lnpop |  -.0771864   .4604391    -0.17   0.867    -.9869215    .8325488
                              war |  -.7629786   .1712871    -4.45   0.000    -1.101407   -.4245498
                          yearFE1 |          0  (omitted)
                          yearFE2 |          0  (omitted)
                          yearFE3 |          0  (omitted)
                          yearFE4 |          0  (omitted)
                          yearFE5 |          0  (omitted)
                          yearFE6 |          0  (omitted)
                          yearFE7 |          0  (omitted)
                          yearFE8 |          0  (omitted)
                          yearFE9 |          0  (omitted)
                         yearFE10 |          0  (omitted)
                         yearFE11 |          0  (omitted)
                         yearFE12 |          0  (omitted)
                         yearFE13 |          0  (omitted)
                         yearFE14 |          0  (omitted)
                         yearFE15 |          0  (omitted)
                         yearFE16 |          0  (omitted)
                         yearFE17 |          0  (omitted)
                         yearFE18 |          0  (omitted)
                         yearFE19 |          0  (omitted)
                         yearFE20 |          0  (omitted)
                         yearFE21 |          0  (omitted)
                         yearFE22 |          0  (omitted)
                         yearFE23 |          0  (omitted)
                         yearFE24 |          0  (omitted)
                         yearFE25 |  -3.272693   .6146477    -5.32   0.000    -4.487113   -2.058273
                         yearFE26 |  -3.368647   .5925637    -5.68   0.000    -4.539434    -2.19786
                         yearFE27 |   -3.14113   .5922818    -5.30   0.000     -4.31136     -1.9709
                         yearFE28 |  -2.632224   .5894043    -4.47   0.000    -3.796768    -1.46768
                         yearFE29 |  -2.606139   .5759079    -4.53   0.000    -3.744017   -1.468261
                         yearFE30 |  -2.294316   .5370109    -4.27   0.000    -3.355342   -1.233291
                         yearFE31 |  -2.094026   .5275864    -3.97   0.000     -3.13643   -1.051621
                         yearFE32 |  -2.111531   .4896072    -4.31   0.000    -3.078897   -1.144166
                         yearFE33 |  -1.756783    .502446    -3.50   0.001    -2.749515   -.7640506
                         yearFE34 |  -1.601881   .4592735    -3.49   0.001    -2.509313   -.6944493
                         yearFE35 |  -1.413337    .455732    -3.10   0.002    -2.313772   -.5129018
                         yearFE36 |  -1.547728   .4260653    -3.63   0.000    -2.389548    -.705909
                         yearFE37 |  -1.798195   .4336871    -4.15   0.000    -2.655073   -.9413163
                         yearFE38 |  -1.405765   .4133133    -3.40   0.001     -2.22239   -.5891415
                         yearFE39 |  -1.560332   .4089122    -3.82   0.000     -2.36826   -.7524033
                         yearFE40 |  -1.189031   .3835732    -3.10   0.002    -1.946895   -.4311676
                         yearFE41 |  -1.283188   .3778587    -3.40   0.001     -2.02976   -.5366148
                         yearFE42 |  -1.225085   .3770952    -3.25   0.001    -1.970149   -.4800206
                         yearFE43 |  -1.046477   .3770345    -2.78   0.006    -1.791422    -.301533
                         yearFE44 |  -1.041292   .3765312    -2.77   0.006    -1.785242   -.2973423
                         yearFE45 |  -.9785911   .3843846    -2.55   0.012    -1.738058   -.2191245
                         yearFE46 |  -.6379035   .3636888    -1.75   0.081    -1.356479    .0806725
                         yearFE47 |  -.6677301   .3406391    -1.96   0.052    -1.340764    .0053042
                         yearFE48 |  -.5772892   .3339649    -1.73   0.086    -1.237137    .0825584
                         yearFE49 |  -.6292295   .3141723    -2.00   0.047    -1.249971   -.0084882
                         yearFE50 |   -.764907   .3230926    -2.37   0.019    -1.403273    -.126541
                         yearFE51 |  -.8874846   .3088625    -2.87   0.005    -1.497735   -.2772343
                         yearFE52 |  -.8656305   .3073284    -2.82   0.006     -1.47285   -.2584114
                         yearFE53 |  -.5639308   .2961114    -1.90   0.059    -1.148987    .0211258
                         yearFE54 |  -.9575591   .2789013    -3.43   0.001    -1.508612   -.4065063
                         yearFE55 |  -.8769679   .2842228    -3.09   0.002    -1.438535   -.3154009
                         yearFE56 |    -.71249   .2615823    -2.72   0.007    -1.229324   -.1956559
                         yearFE57 |  -.8898191   .2825148    -3.15   0.002    -1.448012   -.3316266
                         yearFE58 |  -.9766713   .2548353    -3.83   0.000    -1.480175   -.4731679
                         yearFE59 |  -.7922113   .2249356    -3.52   0.001    -1.236639   -.3477838
                         yearFE60 |  -.7826875   .2352174    -3.33   0.001     -1.24743   -.3179452
                         yearFE61 |  -.8739186   .2127369    -4.11   0.000    -1.294244   -.4535933
                         yearFE62 |  -.5870036   .2038348    -2.88   0.005    -.9897401    -.184267
                         yearFE63 |  -.2256422   .2014604    -1.12   0.264    -.6236874    .1724031
                         yearFE64 |  -.0547021   .2172227    -0.25   0.802    -.4838905    .3744863
                         yearFE65 |   .0661898   .2314889     0.29   0.775    -.3911858    .5235654
                         yearFE66 |  -.1014389   .1913349    -0.53   0.597    -.4794782    .2766005
                         yearFE67 |  -.3961381   .2028279    -1.95   0.053    -.7968852    .0046091
                         yearFE68 |  -.3641727   .1901719    -1.91   0.057    -.7399142    .0115688
                         yearFE69 |   .2585675   .2082363     1.24   0.216    -.1528656    .6700007
                         yearFE70 |          0  (omitted)
                            _cons |   10.15005   8.095702     1.25   0.212    -5.845429    26.14553
----------------------------------+----------------------------------------------------------------
                          sigma_u |  1.9064589
                          sigma_e |  1.6113372
                              rho |  .58330759   (fraction of variance due to u_i)
---------------------------------------------------------------------------------------------------

.         margins, dydx(votedallwithUSA) at(past_ideal = (0 (0.25) 4.5))

Average marginal effects                        Number of obs     =      4,928
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : votedallwithUSA

1._at        : past_ideal      =           0

2._at        : past_ideal      =         .25

3._at        : past_ideal      =          .5

4._at        : past_ideal      =         .75

5._at        : past_ideal      =           1

6._at        : past_ideal      =        1.25

7._at        : past_ideal      =         1.5

8._at        : past_ideal      =        1.75

9._at        : past_ideal      =           2

10._at       : past_ideal      =        2.25

11._at       : past_ideal      =         2.5

12._at       : past_ideal      =        2.75

13._at       : past_ideal      =           3

14._at       : past_ideal      =        3.25

15._at       : past_ideal      =         3.5

16._at       : past_ideal      =        3.75

17._at       : past_ideal      =           4

18._at       : past_ideal      =        4.25

19._at       : past_ideal      =         4.5

---------------------------------------------------------------------------------
                |            Delta-method
                |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
votedallwithUSA |
            _at |
             1  |   -.336154   .5799105    -0.58   0.562    -1.472758    .8004496
             2  |  -.2656049   .5315641    -0.50   0.617    -1.307451    .7762416
             3  |  -.1950558   .4835586    -0.40   0.687    -1.142813    .7527017
             4  |  -.1245067   .4360067    -0.29   0.775    -.9790642    .7300508
             5  |  -.0539576   .3890747    -0.14   0.890    -.8165299    .7086148
             6  |   .0165915    .343017     0.05   0.961    -.6557095    .6888926
             7  |   .0871406   .2982392     0.29   0.770    -.4973975    .6716787
             8  |   .1576897   .2554152     0.62   0.537    -.3429148    .6582943
             9  |   .2282388   .2157117     1.06   0.290    -.1945483     .651026
            10  |    .298788   .1811919     1.65   0.099    -.0563416    .6539175
            11  |   .3693371   .1553506     2.38   0.017     .0648555    .6738186
            12  |   .4398862   .1429736     3.08   0.002      .159663    .7201093
            13  |   .5104353   .1474905     3.46   0.001     .2213591    .7995114
            14  |   .5809844   .1675404     3.47   0.001     .2526112    .9093576
            15  |   .6515335   .1984704     3.28   0.001     .2625387    1.040528
            16  |   .7220826   .2360414     3.06   0.002     .2594501    1.184715
            17  |   .7926317   .2775696     2.86   0.004     .2486053    1.336658
            18  |   .8631808   .3215254     2.68   0.007     .2330025    1.493359
            19  |   .9337299   .3670377     2.54   0.011     .2143493    1.653111
---------------------------------------------------------------------------------

.         marginsplot, level(95) title(" ", color(black) size(medium)) xtitle("Idealpoint distance to US") ytitle("Effect of UNS
> C, all with US") legend(off) graphregion(color(white)) ///
>                 ylabel(,nogrid)  xscale(range(0 1)) xlabel(0 (0.2) 1) plotopts(msize(small) mcolor(black) lcolor(black)) ciopt
> s(lwidth(thin) lcolor(black)) yline(0, lcolor(maroon)) ///
>                 addplot(hist past_ideal if e(sample) & past_ideal > 0 , below color("252 205 85") fcolor(none)  yaxis(2) ylabe
> l(0 (1) 2, axis(2)) yscale(alt range(0 2) axis(2) ))  

  Variables that uniquely identify margins: past_ideal

.                                 graph export "graphs/FigureA10_C.png", replace                  
(file /Users/lang/Dropbox/Buying Votes/replication/graphs/FigureA10_C.png written in PNG format)

. 
. 
. 
. 
. 
. *Table A12
. 
. use "regressiondata.dta", clear

. 
. 
. gen pctagreeus_unga100 = pctagreeus_unga*100
(3,992 missing values generated)

. 
. lab var favorableviewofUS "Favorable views of US (%)"

. lab var lngdppcconst "GDP per capita (ln)"

. lab var lnpop "Population (ln)"

. tab region, gen(regionfe)

                                 Region |      Freq.     Percent        Cum.
----------------------------------------+-----------------------------------
East Asia & Pacific (all income levels) |      1,848       14.89       14.89
Europe & Central Asia (all income lev.. |      3,300       26.60       41.49
Latin America & Caribbean (all income.. |      2,178       17.55       59.04
Middle East & North Africa (all incom.. |      1,320       10.64       69.68
                          North America |        132        1.06       70.74
                             South Asia |        528        4.26       75.00
 Sub-Saharan Africa (all income levels) |      3,102       25.00      100.00
----------------------------------------+-----------------------------------
                                  Total |     12,408      100.00

. 
. 
. reg   pctagreeus_unga100 favorableviewofUS  regionfe*  if  wdicode != "USA" , rob
note: regionfe6 omitted because of collinearity

Linear regression                               Number of obs     =        131
                                                F(7, 123)         =      45.55
                                                Prob > F          =     0.0000
                                                R-squared         =     0.5884
                                                Root MSE          =     9.1152

-----------------------------------------------------------------------------------
                  |               Robust
pctagreeus_un~100 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
favorableviewofUS |   .2209647   .0843575     2.62   0.010     .0539843    .3879452
        regionfe1 |   3.129113   2.464316     1.27   0.207     -1.74885    8.007076
        regionfe2 |   18.99846   2.067455     9.19   0.000     14.90606    23.09086
        regionfe3 |  -1.797177   2.427985    -0.74   0.461    -6.603224    3.008869
        regionfe4 |   6.318634   4.815608     1.31   0.192    -3.213567    15.85084
        regionfe5 |   20.84693   3.515877     5.93   0.000     13.88747     27.8064
        regionfe6 |          0  (omitted)
        regionfe7 |  -9.639023   3.354814    -2.87   0.005    -16.27967   -2.998376
            _cons |   2.230836   3.617437     0.62   0.539    -4.929658     9.39133
-----------------------------------------------------------------------------------

. est store views1

. 
. reg   pctagreeus_unga100 favorableviewofUS lngdppcconst regionfe* if  wdicode != "USA"  , rob
note: regionfe6 omitted because of collinearity

Linear regression                               Number of obs     =        131
                                                F(8, 122)         =      65.94
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6670
                                                Root MSE          =     8.2328

-----------------------------------------------------------------------------------
                  |               Robust
pctagreeus_un~100 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
favorableviewofUS |   .1690772   .0689989     2.45   0.016     .0324869    .3056675
     lngdppcconst |   4.783552   1.112546     4.30   0.000     2.581156    6.985947
        regionfe1 |  -6.720108   3.217451    -2.09   0.039    -13.08937   -.3508418
        regionfe2 |   4.817586   4.161874     1.16   0.249    -3.421259    13.05643
        regionfe3 |   -10.7734   3.546559    -3.04   0.003    -17.79417   -3.752638
        regionfe4 |   -3.42175   3.337008    -1.03   0.307    -10.02769    3.184191
        regionfe5 |   3.153465   6.050108     0.52   0.603    -8.823329    15.13026
        regionfe6 |          0  (omitted)
        regionfe7 |  -8.967347   3.059588    -2.93   0.004    -15.02411   -2.910587
            _cons |  -28.24942   9.311919    -3.03   0.003     -46.6833   -9.815548
-----------------------------------------------------------------------------------

. est store views2

. 
. reg   pctagreeus_unga100 favorableviewofUS lnpop lngdppcconst regionfe* if  wdicode != "USA" , rob
note: regionfe6 omitted because of collinearity

Linear regression                               Number of obs     =        131
                                                F(9, 121)         =      68.44
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6686
                                                Root MSE          =     8.2465

-----------------------------------------------------------------------------------
                  |               Robust
pctagreeus_un~100 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
favorableviewofUS |   .1657666   .0702844     2.36   0.020     .0266201     .304913
            lnpop |  -.6088287   .5899334    -1.03   0.304    -1.776758       .5591
     lngdppcconst |   4.735228    1.11258     4.26   0.000     2.532582    6.937874
        regionfe1 |  -6.887486    3.17667    -2.17   0.032    -13.17654   -.5984296
        regionfe2 |   3.902575   4.378751     0.89   0.375    -4.766317    12.57147
        regionfe3 |  -11.80101   3.614711    -3.26   0.001    -18.95728   -4.644736
        regionfe4 |  -5.603175   4.198896    -1.33   0.185      -13.916    2.709648
        regionfe5 |   2.073542   6.203696     0.33   0.739    -10.20831    14.35539
        regionfe6 |          0  (omitted)
        regionfe7 |  -10.06606   3.028244    -3.32   0.001    -16.06127    -4.07085
            _cons |  -15.92178   14.80996    -1.08   0.284    -45.24201    13.39844
-----------------------------------------------------------------------------------

. est store views3

. 
. 
. 
. estout views* using "tables/Table_A12.xls", title("") ///
>  replace delimiter(_tab) label noabbrev style(tab) collabels(none) ///
>  drop(_cons) indicate("Region FE" = regionfe*)  ///
>  cells(b(star fmt(3)) se(par([ ]) abs fmt(3))) starlevels(* 0.1 ** 0.05 *** 0.01) ///
>  stats(N r2, fmt(0 3 0) label("Observations" "R-squared"))  ///
>  mlabels("[1]" "[2]" "[3]") //  
(output written to tables/Table_A12.xls)

.         
. 
. log close
      name:  <unnamed>
       log:  /Users/lang/Dropbox/Buying Votes/replication/dirtywork.log
  log type:  text
 closed on:  25 Oct 2021, 09:15:13
--------------------------------------------------------------------------------------------------------------------------------
